├── requirements.txt ├── .DS_Store ├── docs ├── .DS_Store ├── source │ ├── .DS_Store │ ├── _img │ │ ├── tflogo.gif │ │ └── tflogo.svg │ ├── _ext │ │ └── djangodocs.py │ ├── index.rst │ ├── credentials │ │ ├── LICENSE.rst │ │ ├── CONTRIBUTING.rst │ │ └── CODE_OF_CONDUCT.rst │ ├── conf.py │ ├── saved │ │ ├── conf (copy).py │ │ ├── conf (another copy).py │ │ ├── conf-2.py │ │ └── conf.py │ ├── intro │ │ └── intro.rst │ └── content │ │ ├── projects.rst │ │ ├── books.rst │ │ ├── warmup.rst │ │ ├── howtocode.rst │ │ └── tutorials.rst ├── Makefile └── make.bat ├── _img └── mainpage │ ├── CNNs.png │ ├── RNN.png │ ├── RNNs1.png │ ├── books.jpg │ ├── models.png │ ├── online.png │ ├── goingdeep.gif │ ├── subscribe.gif │ ├── tutorial.png │ ├── utility.gif │ ├── utility.png │ ├── utility2.gif │ ├── variables.gif │ ├── autoencoder.png │ ├── readingdata.gif │ ├── booksubscribe.png │ ├── follow-twitter.gif │ ├── gettingstarted.gif │ ├── installation.gif │ ├── multiple_gpu.png │ ├── TensorFlow_World.gif │ ├── generative_model.png │ ├── logisticregression.png │ ├── tesnorflowroadmapcover.png │ └── RNN2.svg ├── LICENSE ├── CONTRIBUTING.rst ├── conf.py ├── CODE_OF_CONDUCT.rst └── README.rst /requirements.txt: -------------------------------------------------------------------------------- 1 | python-coveralls 2 | sphinx_rtd_theme 3 | -------------------------------------------------------------------------------- /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/instillai/TensorFlow-Roadmap/HEAD/.DS_Store -------------------------------------------------------------------------------- /docs/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/instillai/TensorFlow-Roadmap/HEAD/docs/.DS_Store -------------------------------------------------------------------------------- /_img/mainpage/CNNs.png: 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| def setup(app): 2 | app.add_crossref_type( 3 | directivename="setting", 4 | rolename="setting", 5 | indextemplate="pair: %s; setting", 6 | ) 7 | -------------------------------------------------------------------------------- /docs/Makefile: -------------------------------------------------------------------------------- 1 | # Minimal makefile for Sphinx documentation 2 | # 3 | 4 | # You can set these variables from the command line. 5 | SPHINXOPTS = 6 | SPHINXBUILD = sphinx-build 7 | SPHINXPROJ = TensoFlow-World-Resources 8 | SOURCEDIR = source 9 | BUILDDIR = build 10 | 11 | # Put it first so that "make" without argument is like "make help". 12 | help: 13 | @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) 14 | 15 | .PHONY: help Makefile 16 | 17 | # Catch-all target: route all unknown targets to Sphinx using the new 18 | # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). 19 | %: Makefile 20 | @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) -------------------------------------------------------------------------------- /docs/source/index.rst: -------------------------------------------------------------------------------- 1 | .. TensoFlow-World-Resources documentation master file, created by 2 | sphinx-quickstart on Wed Jul 5 16:28:45 2017. 3 | You can adapt this file completely to your liking, but it should at least 4 | contain the root `toctree` directive. 5 | 6 | Welcome to TensoFlow Roadmap Ebook! 7 | ===================================================== 8 | 9 | .. toctree:: 10 | :maxdepth: 2 11 | :caption: Foreword 12 | 13 | intro/intro 14 | 15 | .. toctree:: 16 | :maxdepth: 2 17 | :caption: Content 18 | 19 | content/warmup 20 | content/howtocode 21 | content/tutorials 22 | content/projects 23 | content/books 24 | 25 | .. toctree:: 26 | :maxdepth: 2 27 | :caption: Document Credentials 28 | 29 | credentials/LICENSE 30 | -------------------------------------------------------------------------------- /docs/make.bat: -------------------------------------------------------------------------------- 1 | @ECHO OFF 2 | 3 | pushd %~dp0 4 | 5 | REM Command file for Sphinx documentation 6 | 7 | if "%SPHINXBUILD%" == "" ( 8 | set SPHINXBUILD=sphinx-build 9 | ) 10 | set SOURCEDIR=source 11 | set BUILDDIR=build 12 | set SPHINXPROJ=TensoFlow-World-Resources 13 | 14 | if "%1" == "" goto help 15 | 16 | %SPHINXBUILD% >NUL 2>NUL 17 | if errorlevel 9009 ( 18 | echo. 19 | echo.The 'sphinx-build' command was not found. Make sure you have Sphinx 20 | echo.installed, then set the SPHINXBUILD environment variable to point 21 | echo.to the full path of the 'sphinx-build' executable. Alternatively you 22 | echo.may add the Sphinx directory to PATH. 23 | echo. 24 | echo.If you don't have Sphinx installed, grab it from 25 | echo.http://sphinx-doc.org/ 26 | exit /b 1 27 | ) 28 | 29 | %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% 30 | goto end 31 | 32 | :help 33 | %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% 34 | 35 | :end 36 | popd 37 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | LICENSE 2 | ======== 3 | 4 | MIT License 5 | 6 | Copyright (c) 2017 Amirsina Torfi 7 | 8 | Permission is hereby granted, free of charge, to any person obtaining a copy 9 | of this software and associated documentation files (the "Software"), to deal 10 | in the Software without restriction, including without limitation the rights 11 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 12 | copies of the Software, and to permit persons to whom the Software is 13 | furnished to do so, subject to the following conditions: 14 | 15 | The above copyright notice and this permission notice shall be included in all 16 | copies or substantial portions of the Software. 17 | 18 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 19 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 20 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 21 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 22 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 23 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 24 | SOFTWARE. 25 | -------------------------------------------------------------------------------- /docs/source/credentials/LICENSE.rst: -------------------------------------------------------------------------------- 1 | LICENSE 2 | ======== 3 | 4 | MIT License 5 | 6 | Copyright (c) 2019 Amirsina Torfi 7 | 8 | Permission is hereby granted, free of charge, to any person obtaining a copy 9 | of this book and associated documentation files (the "source files"), to deal 10 | in the product without restriction, including without limitation the rights 11 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 12 | copies of the product, and to permit persons to whom the book is 13 | furnished to do so, subject to the following conditions: 14 | 15 | The above copyright notice and this permission notice shall be included in all 16 | copies or substantial portions of the product. 17 | 18 | THE PRODUCT IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 19 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 20 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 21 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 22 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 23 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 24 | SOFTWARE. 25 | -------------------------------------------------------------------------------- /CONTRIBUTING.rst: -------------------------------------------------------------------------------- 1 | 2 | ************* 3 | Contributing 4 | ************* 5 | 6 | *For typos, please do not create a pull request. Instead, declare them in issues or email the repository owner*. Please note we have a code of conduct, please follow it in all your interactions with the project. 7 | 8 | ==================== 9 | Pull Request Process 10 | ==================== 11 | 12 | Please consider the following criterions in order to help us in a better way: 13 | 14 | 1. The pull request is mainly expected to be a link suggestion. 15 | 2. Please make sure your suggested resources are not obsolete or broken. 16 | 3. Ensure any install or build dependencies are removed before the end of the layer when doing a 17 | build and creating a pull request. 18 | 4. Add comments with details of changes to the interface, this includes new environment 19 | variables, exposed ports, useful file locations and container parameters. 20 | 5. You may merge the Pull Request in once you have the sign-off of at least one other developer, or if you 21 | do not have permission to do that, you may request the owner to merge it for you if you believe all checks are passed. 22 | 23 | ============ 24 | Final Note 25 | ============ 26 | 27 | We are looking forward to your kind feedback. Please help us to improve this open source project and make our work better. 28 | For contribution, please create a pull request and we will investigate it promptly. Once again, we appreciate 29 | your kind feedback and elaborate code inspections. 30 | -------------------------------------------------------------------------------- /docs/source/credentials/CONTRIBUTING.rst: -------------------------------------------------------------------------------- 1 | 2 | ************* 3 | Contributing 4 | ************* 5 | 6 | *For typos, please do not create a pull request. Instead, declare them in issues or email the repository owner*. Please note we have a code of conduct, please follow it in all your interactions with the project. 7 | 8 | ==================== 9 | Pull Request Process 10 | ==================== 11 | 12 | Please consider the following criterions in order to help us in a better way: 13 | 14 | 1. The pull request is mainly expected to be a link suggestion. 15 | 2. Please make sure your suggested resources are not obsolete or broken. 16 | 3. Ensure any install or build dependencies are removed before the end of the layer when doing a 17 | build and creating a pull request. 18 | 4. Add comments with details of changes to the interface, this includes new environment 19 | variables, exposed ports, useful file locations and container parameters. 20 | 5. You may merge the Pull Request in once you have the sign-off of at least one other developer, or if you 21 | do not have permission to do that, you may request the owner to merge it for you if you believe all checks are passed. 22 | 23 | ============ 24 | Final Note 25 | ============ 26 | 27 | We are looking forward to your kind feedback. Please help us to improve this open source project and make our work better. 28 | For contribution, please create a pull request and we will investigate it promptly. Once again, we appreciate 29 | your kind feedback and elaborate code inspections. 30 | -------------------------------------------------------------------------------- /conf.py: -------------------------------------------------------------------------------- 1 | import os 2 | import sys 3 | 4 | import sphinx_rtd_theme 5 | sys.path.insert(0, os.path.abspath('_ext')) 6 | # from recommonmark.parser import CommonMarkParser 7 | 8 | sys.path.insert(0, os.path.abspath('..')) 9 | sys.path.append(os.path.dirname(__file__)) 10 | # os.environ.setdefault("DJANGO_SETTINGS_MODULE", "readthedocs.settings.dev") 11 | 12 | # from django.conf import settings 13 | 14 | # import django 15 | # django.setup() 16 | 17 | 18 | sys.path.append(os.path.abspath('_ext')) 19 | extensions = [ 20 | 'sphinx.ext.autodoc', 21 | 'sphinx.ext.intersphinx', 22 | ] 23 | templates_path = ['_templates'] 24 | 25 | edit_on_github_project = 'astorfi/TensorFlow-Roadmap' 26 | edit_on_github_branch = 'master' 27 | 28 | source_suffix = ['.rst', '.md'] 29 | # source_parsers = { 30 | # '.md': CommonMarkParser, 31 | # } 32 | 33 | master_doc = 'index' 34 | project = u'TensorFlow-Roadmap' 35 | copyright = u'2019, Amirsina Torfi' 36 | author = u'Amirsina Torfi' 37 | version = '1.0' 38 | release = '1.0' 39 | exclude_patterns = ['_build'] 40 | default_role = 'obj' 41 | pygments_style = 'sphinx' 42 | # intersphinx_mapping = { 43 | # 'TensorFlow-World': ('https://github.com/astorfi/TensorFlow-World', None), 44 | # } 45 | htmlhelp_basename = 'ReadTheDocsdoc' 46 | latex_documents = [ 47 | (master_doc, 'TensorFlow-Roadmap.tex', u'TensorFlow-Roadmap Documentation', 48 | u'Amirsina Torfi', 'manual'), 49 | ] 50 | man_pages = [ 51 | (master_doc, 'tensorFlow-roadmap', u'TensorFlow-Roadmap Documentation', 52 | [author], 1) 53 | ] 54 | exclude_patterns = [ 55 | # 'api' # needed for ``make gettext`` to not die. 56 | ] 57 | 58 | language = 'en' 59 | 60 | locale_dirs = [ 61 | 'locale/', 62 | ] 63 | gettext_compact = False 64 | 65 | html_theme = 'sphinx_rtd_theme' 66 | html_static_path = ['_static'] 67 | html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] 68 | html_logo = '_img/tflogo.gif' 69 | html_theme_options = { 70 | 'logo_only': True, 71 | 'display_version': False, 72 | } 73 | 74 | github_url='https://github.com/astorfi/TensorFlow-Roadmap' 75 | 76 | html_context = { 77 | "display_github": True, # Add 'Edit on Github' link instead of 'View page source' 78 | "last_updated": True, 79 | "commit": False, 80 | 'github_url': 'https://github.com/astorfi/TensorFlow-Roadmap' 81 | } 82 | 83 | 84 | #def setup(app): 85 | # app.add_stylesheet('custom.css') 86 | -------------------------------------------------------------------------------- /docs/source/conf.py: -------------------------------------------------------------------------------- 1 | import os 2 | import sys 3 | 4 | import sphinx_rtd_theme 5 | sys.path.insert(0, os.path.abspath('_ext')) 6 | # from recommonmark.parser import CommonMarkParser 7 | 8 | sys.path.insert(0, os.path.abspath('..')) 9 | sys.path.append(os.path.dirname(__file__)) 10 | # os.environ.setdefault("DJANGO_SETTINGS_MODULE", "readthedocs.settings.dev") 11 | 12 | # from django.conf import settings 13 | 14 | # import django 15 | # django.setup() 16 | 17 | 18 | sys.path.append(os.path.abspath('_ext')) 19 | extensions = [ 20 | 'sphinx.ext.autodoc', 21 | 'sphinx.ext.intersphinx', 22 | ] 23 | templates_path = ['_templates'] 24 | 25 | edit_on_github_project = 'astorfi/TensorFlow-Roadmap' 26 | edit_on_github_branch = 'master' 27 | 28 | source_suffix = ['.rst', '.md'] 29 | # source_parsers = { 30 | # '.md': CommonMarkParser, 31 | # } 32 | 33 | master_doc = 'index' 34 | project = u'TensorFlow-Roadmap' 35 | copyright = u'2019, Amirsina Torfi' 36 | author = u'Amirsina Torfi' 37 | version = '1.0' 38 | release = '1.0' 39 | exclude_patterns = ['_build'] 40 | default_role = 'obj' 41 | pygments_style = 'sphinx' 42 | # intersphinx_mapping = { 43 | # 'TensorFlow-World': ('https://github.com/astorfi/TensorFlow-World', None), 44 | # } 45 | htmlhelp_basename = 'ReadTheDocsdoc' 46 | latex_documents = [ 47 | (master_doc, 'TensorFlow-Roadmap.tex', u'TensorFlow-Roadmap Documentation', 48 | u'Amirsina Torfi', 'manual'), 49 | ] 50 | man_pages = [ 51 | (master_doc, 'tensoflow-roadmap', u'TensorFlow-Roadmap Documentation', 52 | [author], 1) 53 | ] 54 | exclude_patterns = [ 55 | # 'api' # needed for ``make gettext`` to not die. 56 | ] 57 | 58 | language = 'en' 59 | 60 | locale_dirs = [ 61 | 'locale/', 62 | ] 63 | gettext_compact = False 64 | 65 | html_theme = 'sphinx_rtd_theme' 66 | html_static_path = ['_static'] 67 | html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] 68 | html_logo = '_img/tflogo.gif' 69 | html_theme_options = { 70 | 'logo_only': True, 71 | 'display_version': False, 72 | } 73 | 74 | github_url='https://github.com/astorfi/TensorFlow-Roadmap' 75 | 76 | html_context = { 77 | "display_github": True, # Add 'Edit on Github' link instead of 'View page source' 78 | "last_updated": True, 79 | "commit": False, 80 | 'github_url': 'https://github.com/astorfi/TensorFlow-Roadmap' 81 | } 82 | 83 | 84 | #def setup(app): 85 | # app.add_stylesheet('custom.css') 86 | -------------------------------------------------------------------------------- /docs/source/saved/conf (copy).py: -------------------------------------------------------------------------------- 1 | import os 2 | import sys 3 | 4 | import sphinx_rtd_theme 5 | sys.path.insert(0, os.path.abspath('_ext')) 6 | # from recommonmark.parser import CommonMarkParser 7 | 8 | sys.path.insert(0, os.path.abspath('..')) 9 | sys.path.append(os.path.dirname(__file__)) 10 | # os.environ.setdefault("DJANGO_SETTINGS_MODULE", "readthedocs.settings.dev") 11 | 12 | # from django.conf import settings 13 | 14 | # import django 15 | # django.setup() 16 | 17 | 18 | sys.path.append(os.path.abspath('_ext')) 19 | extensions = [ 20 | 'sphinx.ext.autodoc', 21 | 'sphinx.ext.intersphinx', 22 | 'edit_on_github', 23 | ] 24 | templates_path = ['_templates'] 25 | 26 | edit_on_github_project = 'astorfi/TensorFlow-World-Resources' 27 | edit_on_github_branch = 'master' 28 | 29 | source_suffix = ['.rst', '.md'] 30 | # source_parsers = { 31 | # '.md': CommonMarkParser, 32 | # } 33 | 34 | master_doc = 'index' 35 | project = u'TensoFlow-World-Resources' 36 | copyright = u'2017, Amirsina Torfi' 37 | author = u'Amirsina Torfi' 38 | version = '1.0' 39 | release = '1.0' 40 | exclude_patterns = ['_build'] 41 | default_role = 'obj' 42 | pygments_style = 'sphinx' 43 | # intersphinx_mapping = { 44 | # 'TensorFlow-World': ('https://github.com/astorfi/TensorFlow-World', None), 45 | # } 46 | htmlhelp_basename = 'ReadTheDocsdoc' 47 | latex_documents = [ 48 | (master_doc, 'TensoFlow-World-Resources.tex', u'TensoFlow-World-Resources Documentation', 49 | u'Amirsina Torfi', 'manual'), 50 | ] 51 | man_pages = [ 52 | (master_doc, 'tensoflow-world-resources', u'TensoFlow-World-Resources Documentation', 53 | [author], 1) 54 | ] 55 | exclude_patterns = [ 56 | # 'api' # needed for ``make gettext`` to not die. 57 | ] 58 | 59 | language = 'en' 60 | 61 | locale_dirs = [ 62 | 'locale/', 63 | ] 64 | gettext_compact = False 65 | 66 | html_theme = 'sphinx_rtd_theme' 67 | html_static_path = ['_static'] 68 | html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] 69 | html_logo = '_img/tflogo.gif' 70 | html_theme_options = { 71 | 'logo_only': True, 72 | 'display_version': False, 73 | } 74 | 75 | github_url='https://github.com/astorfi/TensorFlow-World-Resources' 76 | 77 | html_context = { 78 | "display_github": True, # Add 'Edit on Github' link instead of 'View page source' 79 | "last_updated": True, 80 | "commit": False, 81 | } 82 | 83 | 84 | #def setup(app): 85 | # app.add_stylesheet('custom.css') 86 | -------------------------------------------------------------------------------- /docs/source/saved/conf (another copy).py: -------------------------------------------------------------------------------- 1 | import os 2 | import sys 3 | 4 | import sphinx_rtd_theme 5 | sys.path.insert(0, os.path.abspath('_ext')) 6 | # from recommonmark.parser import CommonMarkParser 7 | 8 | sys.path.insert(0, os.path.abspath('..')) 9 | sys.path.append(os.path.dirname(__file__)) 10 | # os.environ.setdefault("DJANGO_SETTINGS_MODULE", "readthedocs.settings.dev") 11 | 12 | # from django.conf import settings 13 | 14 | # import django 15 | # django.setup() 16 | 17 | 18 | sys.path.append(os.path.abspath('_ext')) 19 | extensions = [ 20 | 'sphinx.ext.autodoc', 21 | 'sphinx.ext.intersphinx', 22 | ] 23 | templates_path = ['_templates'] 24 | 25 | edit_on_github_project = 'astorfi/TensorFlow-World-Resources' 26 | edit_on_github_branch = 'master' 27 | 28 | source_suffix = ['.rst', '.md'] 29 | # source_parsers = { 30 | # '.md': CommonMarkParser, 31 | # } 32 | 33 | master_doc = 'index' 34 | project = u'TensoFlow-World-Resources' 35 | copyright = u'2017, Amirsina Torfi' 36 | author = u'Amirsina Torfi' 37 | version = '1.0' 38 | release = '1.0' 39 | exclude_patterns = ['_build'] 40 | default_role = 'obj' 41 | pygments_style = 'sphinx' 42 | # intersphinx_mapping = { 43 | # 'TensorFlow-World': ('https://github.com/astorfi/TensorFlow-World', None), 44 | # } 45 | htmlhelp_basename = 'ReadTheDocsdoc' 46 | latex_documents = [ 47 | (master_doc, 'TensoFlow-World-Resources.tex', u'TensoFlow-World-Resources Documentation', 48 | u'Amirsina Torfi', 'manual'), 49 | ] 50 | man_pages = [ 51 | (master_doc, 'tensoflow-world-resources', u'TensoFlow-World-Resources Documentation', 52 | [author], 1) 53 | ] 54 | exclude_patterns = [ 55 | # 'api' # needed for ``make gettext`` to not die. 56 | ] 57 | 58 | language = 'en' 59 | 60 | locale_dirs = [ 61 | 'locale/', 62 | ] 63 | gettext_compact = False 64 | 65 | html_theme = 'sphinx_rtd_theme' 66 | html_static_path = ['_static'] 67 | html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] 68 | html_logo = '_img/tflogo.gif' 69 | html_theme_options = { 70 | 'logo_only': True, 71 | 'display_version': False, 72 | } 73 | 74 | github_url='https://github.com/astorfi/TensorFlow-World-Resources' 75 | 76 | html_context = { 77 | "display_github": True, # Add 'Edit on Github' link instead of 'View page source' 78 | "last_updated": True, 79 | "commit": False, 80 | 'github_url': 'https://github.com/spatialaudio/nbsphinx/' 81 | } 82 | 83 | 84 | #def setup(app): 85 | # app.add_stylesheet('custom.css') 86 | -------------------------------------------------------------------------------- /docs/source/intro/intro.rst: -------------------------------------------------------------------------------- 1 | Introduction 2 | ============ 3 | 4 | The purpose of this project is to introduce a shortcut to developers and researcher 5 | for finding useful resources about TensorFlow. 6 | 7 | ----------- 8 | Motivation 9 | ----------- 10 | 11 | There are different motivations for this open source project. 12 | 13 | ~~~~~~~~~~~~~~~~~~~~~ 14 | Why using TensorFlow? 15 | ~~~~~~~~~~~~~~~~~~~~~ 16 | 17 | A deep learning is of great interest these days, the crucial necessity for rapid and optimized implementation of the algorithms 18 | and designing architectures is the software environment. TensorFlow is designed to facilitate this goal. The strong advantage of 19 | TensorFlow is it flexibility is designing highly modular model which also can be a disadvantage too for beginners since lots of 20 | the pieces must be considered together for creating the model. This issue has been facilitated as well by developing high-level APIs 21 | such as `Keras `_ and `Slim `_ 22 | which gather lots of the design puzzle pieces. The interesting point about TensorFlow is that **its trace can be found anywhere these days**. 23 | Lots of the researchers and developers are using it and *its community is growing with the speed of light*! So the possible issues can 24 | be overcame easily since they might be the issues of lots of other people considering a large number of people involved in TensorFlow community. 25 | 26 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 27 | What's the point of this open source project? 28 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | 30 | There other similar repositories similar to this repository and are very 31 | comprehensive and useful and to be honest they made me ponder if there is 32 | a necessity for this repository! A great example is `awesome-tensorflow `_ 33 | repository which is a curated list of different TensorFlow resources. 34 | 35 | **The point of this repository is that the resources are being targeted**. The organization 36 | of the resources is such that the user can easily find the things he/she is looking for. 37 | We divided the resources to a large number of categories that in the beginning one may 38 | have a headache!!! However, if someone knows what is being located, it is very easy to find the most related resources. 39 | Even if someone doesn't know what to look for, in the beginning, the general resources have 40 | been provided. 41 | 42 | 43 | ------------------------------------ 44 | How to make the most of this effort 45 | ------------------------------------ 46 | 47 | The written and visual resources have been split. Moreover, As one can search 48 | in the documentation, the number of categories might look to be too much. For 49 | finding the most relevant resources, please at first look through the general resources. 50 | -------------------------------------------------------------------------------- /docs/source/content/projects.rst: -------------------------------------------------------------------------------- 1 | =================== 2 | TensorFlow Projects 3 | =================== 4 | 5 | This section is dedicated to provide resources that are mainly open source projects developed by TensorFlow. 6 | Those might be comprehensive tutorials on working example. 7 | 8 | ----------------------- 9 | Comprehensive Tutorials 10 | ----------------------- 11 | 12 | * `TensorFlow-World`_: Concise and ready-to-use TensorFlow tutorials with detailed documentation 13 | * `TensorFlow-Tutorials`_: Introduction to deep learning based on Google's TensorFlow framework 14 | * `TensorFlow Tutorials`_: Organized tutorials in TensorFlow 15 | * `TensorFlow-Examples`_: Providing working examples in TensorFlow 16 | * `Tensorflow Tutorials using Jupyter Notebook`_: TensorFlow tutorials written in Python plus Jupyter Notebook 17 | * `TensorFlow for Deep Learning Research`_: Code examples for the Stanford course CS 20SI 18 | 19 | .. _TensorFlow-World: https://github.com/astorfi/TensorFlow-World 20 | .. _TensorFlow-Tutorials: https://github.com/nlintz/TensorFlow-Tutorials 21 | .. _TensorFlow Tutorials: https://github.com/Hvass-Labs/TensorFlow-Tutorials 22 | .. _TensorFlow-Examples: https://github.com/aymericdamien/TensorFlow-Examples 23 | .. _Tensorflow Tutorials using Jupyter Notebook: https://github.com/sjchoi86/Tensorflow-101 24 | .. _TensorFlow for Deep Learning Research: https://github.com/chiphuyen/tf-stanford-tutorials 25 | 26 | ------ 27 | Models 28 | ------ 29 | 30 | * `TensorFlow Models`_: Machine learning models implemented in TensorFlow 31 | * `Tensorflow VGG16 and VGG19`_: Implementation of VGG 16 and VGG 19 based on tensorflow-vgg16 and Caffe to Tensorflow 32 | * `ResNet in TensorFlow`_: Implementation of `Deep Residual Learning for Image Recognition `_ 33 | * `Inception in TensorFlow`_: Train the Inception v3 architecture 34 | * `A TensorFlow implementation of DeepMind WaveNet paper`_: TensorFlow implementation of the `WaveNet generative neural network architecture `_ for audio generation 35 | * `3D Convolutional Neural Networks for Speaker Verification`_: Implementation of `3D Convolutional Neural Networks for Speaker Verification application `_ in TensorFlow. 36 | * `Domain Transfer Network (DTN)`_: The implementation of `Unsupervised Cross-Domain Image Generation `_ in TensorFlow 37 | * `Neural Style`_: The Neural Style algorithm implementation that synthesizes a pastiche 38 | * `SqueezeNet in TensorFlow`_: Tensorflow implementation of SqueezeNet 39 | 40 | 41 | .. _TensorFlow Models: https://github.com/tensorflow/models 42 | .. _Tensorflow VGG16 and VGG19: https://github.com/machrisaa/tensorflow-vgg 43 | .. _ResNet in TensorFlow: https://github.com/ry/tensorflow-resnet 44 | .. _Inception in TensorFlow: https://github.com/tensorflow/models/tree/master/inception 45 | .. _A TensorFlow implementation of DeepMind WaveNet paper: https://github.com/ibab/tensorflow-wavenet 46 | .. _3D Convolutional Neural Networks for Speaker Verification: https://github.com/astorfi/3D-convolutional-speaker-recognition 47 | .. _Domain Transfer Network (DTN): https://github.com/yunjey/domain-transfer-network 48 | .. _Neural Style: https://github.com/cysmith/neural-style-tf 49 | .. _SqueezeNet in TensorFlow: https://github.com/vonclites/squeezenet 50 | -------------------------------------------------------------------------------- /docs/source/content/books.rst: -------------------------------------------------------------------------------- 1 | =================== 2 | Published Resources 3 | =================== 4 | 5 | This section is dedicated to provide published resources on TensorFlow, Such as websites, blogs, and books. 6 | 7 | 8 | 9 | --------------------------------- 10 | Online Courses and Documentations 11 | --------------------------------- 12 | 13 | * `LearningTensorFlow`_: Beginner-level tutorials for a TensorFlow 14 | * `Deep Learning by Google`_: A free online course developed by Google and Udacity 15 | * `Tensorflow for Deep Learning Research`_: A comprehensive course by Stanford 16 | * `Creative Applications of Deep Learning with TensorFlow`_: A non-free course on TensorFlow 17 | * `Deep Learning with TensorFlow Tutorial`_: In this TensorFlow course, you will be able to learn the basic concepts of TensorFlow 18 | 19 | .. _LearningTensorFlow: https://learningtensorflow.com/ 20 | .. _Deep Learning by Google: https://www.udacity.com/course/deep-learning--ud730 21 | .. _Tensorflow for Deep Learning Research: https://web.stanford.edu/class/cs20si/ 22 | .. _Creative Applications of Deep Learning with TensorFlow: https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow/info 23 | .. _Deep Learning with TensorFlow Tutorial: https://cognitiveclass.ai/courses/deep-learning-tensorflow/ 24 | 25 | 26 | 27 | ------ 28 | Books 29 | ------ 30 | 31 | * `TensorFlow Machine Learning Cookbook`_: Quick guide to implementing TensorFlow in your day-to-day machine learning activities 32 | * `Deep Learning with TensorFlow`_: Throughout the book, you’ll learn how to implement deep learning algorithms for machine learning systems 33 | * `First contact with TensorFlow`_: An online book on TensorFlow 34 | * `Building Machine Learning Projects with TensorFlow`_: Learn how to implement TensorFlow in production 35 | * `Learning TensorFlow`_: This book is an end-to-end guide to TensorFlow 36 | * `Machine Learning with TensorFlow`_: Tackle common commercial machine learning problems with Google’s TensorFlow library 37 | * `Getting Started with TensorFlow`_: An easy-to-understand book on TensorFlow 38 | * `Hands-On Machine Learning with Scikit-Learn and TensorFlow`_: By using examples, theory, the book help to gain an understanding of the machine learning concepts 39 | * `Machine Learning with TensorFlow (MEAP)`_: An introduction to the concepts of TensorFlow 40 | 41 | .. _TensorFlow Machine Learning Cookbook: https://www.amazon.com/dp/B01HY3TC54/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1 42 | .. _Deep Learning with TensorFlow: https://www.packtpub.com/big-data-and-business-intelligence/deep-learning-tensorflow 43 | .. _First contact with TensorFlow: http://jorditorres.org/first-contact-with-tensorflow/ 44 | .. _Building Machine Learning Projects with TensorFlow: https://www.amazon.com/dp/B01M2Z8FS4/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1 45 | .. _Learning TensorFlow: http://shop.oreilly.com/product/0636920063698.do 46 | .. _Machine Learning with TensorFlow: https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-tensorflow 47 | .. _Getting Started with TensorFlow: https://www.amazon.com/Getting-Started-TensorFlow-Giancarlo-Zaccone-ebook/dp/B01H1JD6JO 48 | .. _Hands-On Machine Learning with Scikit-Learn and TensorFlow: http://shop.oreilly.com/product/0636920052289.do 49 | .. _Machine Learning with TensorFlow (MEAP): https://www.manning.com/books/machine-learning-with-tensorflow 50 | -------------------------------------------------------------------------------- /CODE_OF_CONDUCT.rst: -------------------------------------------------------------------------------- 1 | Contributor Covenant Code of Conduct 2 | ==================================== 3 | 4 | Our Pledge 5 | ---------- 6 | 7 | In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. 8 | 9 | Our Standards 10 | ------------- 11 | 12 | Examples of behavior that contributes to creating a positive environment include: 13 | 14 | * Using welcoming and inclusive language 15 | * Being respectful of differing viewpoints and experiences 16 | * Gracefully accepting constructive criticism 17 | * Focusing on what is best for the community 18 | * Showing empathy towards other community members 19 | 20 | Examples of unacceptable behavior by participants include: 21 | 22 | * The use of sexualized language or imagery and unwelcome sexual attention or advances 23 | * Trolling, insulting/derogatory comments, and personal or political attacks 24 | * Public or private harassment 25 | * Publishing others' private information, such as a physical or electronic address, without explicit permission 26 | * Other conduct which could reasonably be considered inappropriate in a professional setting 27 | 28 | Our Responsibilities 29 | -------------------- 30 | 31 | Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. 32 | 33 | Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. 34 | 35 | Scope 36 | ----- 37 | 38 | This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers. 39 | 40 | Enforcement 41 | ----------- 42 | 43 | Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at amirsina.torfi@gmail.com. The project team will review and investigate all complaints, and will respond in a way that it deems appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately. 44 | 45 | Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. 46 | 47 | Attribution 48 | ------------ 49 | 50 | This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at [http://contributor-covenant.org/version/1/4][version] 51 | 52 | [homepage]: http://contributor-covenant.org 53 | [version]: http://contributor-covenant.org/version/1/4/ 54 | -------------------------------------------------------------------------------- /docs/source/credentials/CODE_OF_CONDUCT.rst: -------------------------------------------------------------------------------- 1 | Contributor Covenant Code of Conduct 2 | ==================================== 3 | 4 | Our Pledge 5 | ---------- 6 | 7 | In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. 8 | 9 | Our Standards 10 | ------------- 11 | 12 | Examples of behavior that contributes to creating a positive environment include: 13 | 14 | * Using welcoming and inclusive language 15 | * Being respectful of differing viewpoints and experiences 16 | * Gracefully accepting constructive criticism 17 | * Focusing on what is best for the community 18 | * Showing empathy towards other community members 19 | 20 | Examples of unacceptable behavior by participants include: 21 | 22 | * The use of sexualized language or imagery and unwelcome sexual attention or advances 23 | * Trolling, insulting/derogatory comments, and personal or political attacks 24 | * Public or private harassment 25 | * Publishing others' private information, such as a physical or electronic address, without explicit permission 26 | * Other conduct which could reasonably be considered inappropriate in a professional setting 27 | 28 | Our Responsibilities 29 | -------------------- 30 | 31 | Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. 32 | 33 | Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. 34 | 35 | Scope 36 | ----- 37 | 38 | This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers. 39 | 40 | Enforcement 41 | ----------- 42 | 43 | Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at amirsina.torfi@gmail.com. The project team will review and investigate all complaints, and will respond in a way that it deems appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately. 44 | 45 | Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. 46 | 47 | Attribution 48 | ------------ 49 | 50 | This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at [http://contributor-covenant.org/version/1/4][version] 51 | 52 | [homepage]: http://contributor-covenant.org 53 | [version]: http://contributor-covenant.org/version/1/4/ 54 | -------------------------------------------------------------------------------- /docs/source/content/warmup.rst: -------------------------------------------------------------------------------- 1 | ============================ 2 | Entrance to TensorFlow World 3 | ============================ 4 | 5 | In this section, different TensorFlow topics and their associated 6 | resources will be addressed. 7 | 8 | ------------- 9 | Installation 10 | ------------- 11 | 12 | First of all, the TensorFlow must be installed! 13 | 14 | ~~~~~~~~~~~~~~~~~~ 15 | Written Resources 16 | ~~~~~~~~~~~~~~~~~~ 17 | 18 | * `Installing TensorFlow`_: Official TensorFLow installation 19 | * `Install TensorFlow from the source`_: A comprehensive guide on how to install TensorFlow from the source using python/anaconda 20 | * `TensorFlow Installation`_: A short TensorFlow installation guide powered by NVIDIA 21 | * `7 SIMPLE STEPS TO INSTALL TENSORFLOW ON WINDOWS`_: A concise tutorial for installing TensorFlow on Windows 22 | 23 | .. _Installing TensorFlow: https://www.tensorflow.org/install/ 24 | .. _Install TensorFlow from the source: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/installation 25 | .. _TensorFlow Installation: http://www.nvidia.com/object/gpu-accelerated-applications-tensorflow-installation.html 26 | .. _7 SIMPLE STEPS TO INSTALL TENSORFLOW ON WINDOWS: http://saintlad.com/install-tensorflow-on-windows/ 27 | 28 | 29 | ~~~~~~~~~~~~~~~~ 30 | Visual Resources 31 | ~~~~~~~~~~~~~~~~ 32 | 33 | * `Install TensorFlow on Ubuntu`_: A comprehensive tutorial on how to install TensorFlow on Ubuntu 34 | * `Installation of TensorFlow`_: The video covers how to setup TensorFlow 35 | * `Installing CPU and GPU TensorFlow on Windows`_: A tutorial on TensorFlow installation for Windows 36 | * `Installing the GPU version of TensorFlow for making use of your CUDA GPU`_: A GPU-targeted TensoFlow installation 37 | 38 | 39 | .. _Install TensorFlow on Ubuntu: https://www.youtube.com/watch?v=_3JFEPk4qQY&t=3s 40 | .. _Installation of TensorFlow: https://www.youtube.com/watch?v=CvspEt8kSIg 41 | .. _Installing CPU and GPU TensorFlow on Windows: https://www.youtube.com/watch?v=r7-WPbx8VuY 42 | .. _Installing the GPU version of TensorFlow for making use of your CUDA GPU: https://www.youtube.com/watch?v=io6Ajf5XkaM 43 | 44 | --------------- 45 | Getting Started 46 | --------------- 47 | 48 | This part points to resources on how to start to code with TensorFLow 49 | 50 | ~~~~~~~~~~~~~~~~~~ 51 | Written Resources 52 | ~~~~~~~~~~~~~~~~~~ 53 | 54 | * `Getting Started With TensorFlow`_: This guide gets you started programming in TensorFlow 55 | * `learning tensorflow`_:A great resource to start 56 | * `Welcome to TensorFlow World`_: A simple and concise start to TensorFLow 57 | 58 | .. _learning tensorflow: http://learningtensorflow.com/getting_started/ 59 | .. _Getting Started With TensorFlow: https://www.tensorflow.org/get_started/get_started 60 | .. _Welcome to TensorFlow World: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/0-welcome 61 | 62 | ~~~~~~~~~~~~~~~~ 63 | Visual Resources 64 | ~~~~~~~~~~~~~~~~ 65 | 66 | * `Gentlest Introduction to Tensorflow `_ 67 | * `TensorFlow in 5 Minutes `_ 68 | * `Deep Learning with TensorFlow - Introduction to TensorFlow `_ 69 | * `TensorFlow Tutorial (Sherry Moore, Google Brain) `_ 70 | * `Deep Learning with Neural Networks and TensorFlow Introduction `_ 71 | * `A fast with TensorFlow `_ 72 | 73 | -------------------------- 74 | Going Deeper in TensorFLow 75 | -------------------------- 76 | 77 | Advanced machine learning users can go deeper in TensorFlow in order to 78 | *hit the root*. Scratching the surface may never take us too further! 79 | 80 | 81 | ~~~~~~~~~~~~~~~~~~ 82 | Written Resources 83 | ~~~~~~~~~~~~~~~~~~ 84 | 85 | * `TensorFlow Mechanics`_: More experienced machine learning users can dig more in TensorFlow 86 | * `Advanced TensorFlow`_: Advanced Tutorials in TensorFlow 87 | * `We Need to Go Deeper`_: A Practical Guide to Tensorflow and Inception 88 | * `Wide and Deep Learning - Better Together with TensorFlow`_: A tutorial by Google Research Blog 89 | 90 | 91 | 92 | 93 | .. _TensorFlow Mechanics: https://www.tensorflow.org/get_started/mnist/mechanics 94 | .. _Advanced TensorFlow: https://github.com/sjchoi86/advanced-tensorflow 95 | .. _We Need to Go Deeper: https://medium.com/initialized-capital/we-need-to-go-deeper-a-practical-guide-to-tensorflow-and-inception-50e66281804f 96 | .. _Wide and Deep Learning - Better Together with TensorFlow: https://research.googleblog.com/2016/06/wide-deep-learning-better-together-with.html 97 | 98 | 99 | ~~~~~~~~~~~~~~~~ 100 | Visual Resources 101 | ~~~~~~~~~~~~~~~~ 102 | 103 | * `TensorFlow DeepDive`_: More experienced machine learning users can dig more in TensorFlow 104 | * `Go Deeper - Transfer Learning`_: TensorFlow and Deep Learning 105 | * `Distributed TensorFlow - Design Patterns and Best Practices`_: A talk that was given at the Advanced Spark and TensorFlow Meetup 106 | * `Fundamentals of TensorFlow`_ 107 | * `TensorFlow Wide and Deep - Advanced Classification the easy way`_ 108 | * `Tensorflow and deep learning - without a PhD`_: A great tutorial on TensoFLow workflow 109 | 110 | 111 | 112 | .. _TensorFlow DeepDive: https://www.youtube.com/watch?v=T0H6zF3K1mc 113 | .. _Go Deeper - Transfer Learning: https://www.youtube.com/watch?v=iu3MOQ-Z3b4 114 | .. _Distributed TensorFlow - Design Patterns and Best Practices: https://www.youtube.com/watch?v=YAkdydqUE2c 115 | .. _Fundamentals of TensorFlow: https://www.youtube.com/watch?v=EM6SU8QVSlY 116 | .. _TensorFlow Wide and Deep - Advanced Classification the easy way: https://www.youtube.com/watch?v=WKgNNC0VLhM 117 | .. _Tensorflow and deep learning - without a PhD: https://www.youtube.com/watch?v=vq2nnJ4g6N0 118 | -------------------------------------------------------------------------------- /docs/source/_img/tflogo.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 7 | 8 | 17 | 25 | 33 | 40 | 45 | 50 | 53 | 57 | 61 | 63 | 64 | 65 | 66 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | -------------------------------------------------------------------------------- /docs/source/saved/conf-2.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | import os 4 | import sys 5 | # 6 | # TensoFlow-World-Resources documentation build configuration file, created by 7 | # sphinx-quickstart on Wed Jul 5 16:28:45 2017. 8 | # 9 | # This file is execfile()d with the current directory set to its 10 | # containing dir. 11 | # 12 | # Note that not all possible configuration values are present in this 13 | # autogenerated file. 14 | # 15 | # All configuration values have a default; values that are commented out 16 | # serve to show the default. 17 | 18 | # If extensions (or modules to document with autodoc) are in another directory, 19 | # add these directories to sys.path here. If the directory is relative to the 20 | # documentation root, use os.path.abspath to make it absolute, like shown here. 21 | # 22 | # import os 23 | # import sys 24 | # sys.path.insert(0, os.path.abspath('.')) 25 | 26 | 27 | # -- General configuration ------------------------------------------------ 28 | 29 | # If your documentation needs a minimal Sphinx version, state it here. 30 | # 31 | # needs_sphinx = '1.0' 32 | 33 | # Add any Sphinx extension module names here, as strings. They can be 34 | # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom 35 | # ones. 36 | extensions = [] 37 | 38 | # Add any paths that contain templates here, relative to this directory. 39 | templates_path = ['_templates'] 40 | 41 | # The suffix(es) of source filenames. 42 | # You can specify multiple suffix as a list of string: 43 | # 44 | # source_suffix = ['.rst', '.md'] 45 | source_suffix = '.rst' 46 | 47 | # The master toctree document. 48 | master_doc = 'index' 49 | 50 | # General information about the project. 51 | # project = u'TensoFlow-World-Resources' 52 | copyright = u'2017, Amirsina Torfi' 53 | author = u'Amirsina Torfi' 54 | 55 | # The version info for the project you're documenting, acts as replacement for 56 | # |version| and |release|, also used in various other places throughout the 57 | # built documents. 58 | # 59 | # The short X.Y version. 60 | version = u'0.1.0' 61 | # The full version, including alpha/beta/rc tags. 62 | release = u'0.1.0' 63 | 64 | # The language for content autogenerated by Sphinx. Refer to documentation 65 | # for a list of supported languages. 66 | 67 | # Add any Sphinx extension module names here, as strings. They can be 68 | # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom 69 | # ones. 70 | extensions = [ 71 | 'sphinx.ext.autodoc', 72 | 'sphinx.ext.doctest', 73 | 'sphinx.ext.todo', 74 | 'sphinx.ext.viewcode', 75 | ] 76 | 77 | autodoc_member_order = 'bysource' 78 | 79 | # If extensions (or modules to document with autodoc) are in another directory, 80 | # add these directories to sys.path here. If the directory is relative to the 81 | # documentation root, use os.path.abspath to make it absolute, like shown here. 82 | sys.path.insert(0, os.path.abspath('../../')) 83 | 84 | # 85 | # This is also used if you do content translation via gettext catalogs. 86 | # Usually you set "language" from the command line for these cases. 87 | language = None 88 | 89 | # List of patterns, relative to source directory, that match files and 90 | # directories to ignore when looking for source files. 91 | # This patterns also effect to html_static_path and html_extra_path 92 | exclude_patterns = [] 93 | 94 | # The name of the Pygments (syntax highlighting) style to use. 95 | pygments_style = 'sphinx' 96 | 97 | # If true, `todo` and `todoList` produce output, else they produce nothing. 98 | # todo_include_todos = False 99 | 100 | 101 | # -- Options for HTML output ---------------------------------------------- 102 | 103 | # The theme to use for HTML and HTML Help pages. See the documentation for 104 | # a list of builtin themes. 105 | # 106 | 107 | # The theme to use for HTML and HTML Help pages. See the documentation for 108 | # a list of builtin themes. 109 | #html_theme = 'alabaster' 110 | html_theme = 'default' 111 | 112 | # on_rtd is whether we are on readthedocs.org 113 | on_rtd = os.environ.get('READTHEDOCS', None) == 'True' 114 | 115 | if not on_rtd: # only import and set the theme if we're building docs locally 116 | import sphinx_rtd_theme 117 | html_theme = 'sphinx_rtd_theme' 118 | html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] 119 | 120 | # otherwise, readthedocs.org uses their theme by default, so no need to specify it 121 | 122 | # html_theme = 'alabaster' 123 | 124 | # Theme options are theme-specific and customize the look and feel of a theme 125 | # further. For a list of options available for each theme, see the 126 | # documentation. 127 | # 128 | # html_theme_options = {} 129 | 130 | # html_theme_options = { 131 | # 'show_powered_by': False, 132 | # 'github_user': 'astorfi', 133 | # 'github_repo': 'TensorFlow-World-Resources', 134 | # 'github_banner': True, 135 | # 'show_related': False 136 | # } 137 | 138 | # Add any paths that contain custom static files (such as style sheets) here, 139 | # relative to this directory. They are copied after the builtin static files, 140 | # so a file named "default.css" will overwrite the builtin "default.css". 141 | html_static_path = ['_static'] 142 | 143 | 144 | # -- Options for HTMLHelp output ------------------------------------------ 145 | 146 | # Output file base name for HTML help builder. 147 | htmlhelp_basename = 'TensoFlow-World-Resourcesdoc' 148 | 149 | 150 | # -- Options for LaTeX output --------------------------------------------- 151 | 152 | latex_elements = { 153 | # The paper size ('letterpaper' or 'a4paper'). 154 | # 155 | # 'papersize': 'letterpaper', 156 | 157 | # The font size ('10pt', '11pt' or '12pt'). 158 | # 159 | # 'pointsize': '10pt', 160 | 161 | # Additional stuff for the LaTeX preamble. 162 | # 163 | # 'preamble': '', 164 | 165 | # Latex figure (float) alignment 166 | # 167 | # 'figure_align': 'htbp', 168 | } 169 | 170 | # Grouping the document tree into LaTeX files. List of tuples 171 | # (source start file, target name, title, 172 | # author, documentclass [howto, manual, or own class]). 173 | latex_documents = [ 174 | (master_doc, 'TensoFlow-World-Resources.tex', u'TensoFlow-World-Resources Documentation', 175 | u'Amirsina Torfi', 'manual'), 176 | ] 177 | 178 | 179 | # -- Options for manual page output --------------------------------------- 180 | 181 | # One entry per manual page. List of tuples 182 | # (source start file, name, description, authors, manual section). 183 | man_pages = [ 184 | (master_doc, 'tensoflow-world-resources', u'TensoFlow-World-Resources Documentation', 185 | [author], 1) 186 | ] 187 | 188 | 189 | # -- Options for Texinfo output ------------------------------------------- 190 | 191 | # Grouping the document tree into Texinfo files. List of tuples 192 | # (source start file, target name, title, author, 193 | # dir menu entry, description, category) 194 | texinfo_documents = [ 195 | (master_doc, 'TensoFlow-World-Resources', u'TensoFlow-World-Resources Documentation', 196 | author, 'TensoFlow-World-Resources', 'One line description of project.', 197 | 'Miscellaneous'), 198 | ] 199 | 200 | 201 | 202 | -------------------------------------------------------------------------------- /docs/source/content/howtocode.rst: -------------------------------------------------------------------------------- 1 | ============================ 2 | Programming with TensorFlow 3 | ============================ 4 | 5 | .. * `Title`_: some text 6 | .. .. _Title: link 7 | 8 | The references here, deal with the details of programming and writing TensorFlow code. 9 | 10 | ------------------------------- 11 | Reading data and input pipeline 12 | ------------------------------- 13 | 14 | The first part is always how to prepare data and how to provide the pipeline to feed it to TensorFlow. 15 | Usually providing the input pipeline can be complicated, even more than the structure design! 16 | 17 | ~~~~~~~~~~~~~~~~~ 18 | Written resources 19 | ~~~~~~~~~~~~~~~~~ 20 | 21 | * `Dataset API for TensorFlow Input Pipelines`_: A TensorFlow official documentation on *Using the Dataset API for TensorFlow Input Pipelines* 22 | * `TesnowFlow input pipeline`_: Input pipeline provided by Stanford. 23 | * `TensorFlow input pipeline example`_: A working example. 24 | * `TensorFlow Data Input`_: TensorFlow Data Input: Placeholders, Protobufs & Queues 25 | * `Reading data`_: The official documentation by the TensorFLow on how to read data 26 | * `basics of reading a CSV file`_: A tutorial on reading a CSV file 27 | * `Custom Data Readers`_: Official documentation on this how to define a reader. 28 | 29 | .. _Dataset API for TensorFlow Input Pipelines: https://github.com/tensorflow/tensorflow/tree/v1.2.0-rc1/tensorflow/contrib/data 30 | .. _TesnowFlow input pipeline: http://web.stanford.edu/class/cs20si/lectures/slides_09.pdf 31 | .. _TensorFlow input pipeline example: http://ischlag.github.io/2016/06/19/tensorflow-input-pipeline-example/ 32 | .. _TensorFlow Data Input: https://indico.io/blog/tensorflow-data-inputs-part1-placeholders-protobufs-queues/ 33 | .. _Reading data: https://www.tensorflow.org/programmers_guide/reading_data 34 | .. _basics of reading a CSV file: http://learningtensorflow.com/ReadingFilesBasic/ 35 | .. _Custom Data Readers: https://www.tensorflow.org/extend/new_data_formats 36 | 37 | ~~~~~~~~~~~~~~~~ 38 | Visual resources 39 | ~~~~~~~~~~~~~~~~ 40 | 41 | * `Tensorflow tutorial on TFRecords`_: A tutorial on how to transform data into TFRecords 42 | 43 | .. _Tensorflow tutorial on TFRecords: https://www.youtube.com/watch?v=F503abjanHA 44 | 45 | ---------- 46 | Variables 47 | ---------- 48 | 49 | Variables are supposed to hold the parameters and supersede by new values as the parameters are updated. 50 | Variables must be clearly set and initialized. 51 | 52 | ~~~~~~~~~~~~~~~~~ 53 | Written Resources 54 | ~~~~~~~~~~~~~~~~~ 55 | 56 | ^^^^^^^^^^^^^^^^^^^^^^^^ 57 | Creation, Initialization 58 | ^^^^^^^^^^^^^^^^^^^^^^^^ 59 | 60 | * `Variables Creation and Initialization`_: An official documentation on setting up variables 61 | * `Introduction to TensorFlow Variables - Creation and Initialization`_: This tutorial deals with defining and initializing TensorFlow variables 62 | * `Variables`_: An introduction to variables 63 | 64 | .. _Variables Creation and Initialization: https://www.tensorflow.org/programmers_guide/variables 65 | .. _Introduction to TensorFlow Variables - Creation and Initialization: http://machinelearninguru.com/deep_learning/tensorflow/basics/variables/variables.html 66 | .. _Variables: http://learningtensorflow.com/lesson2/ 67 | 68 | ^^^^^^^^^^^^^^^^^^^^^ 69 | Saving and restoring 70 | ^^^^^^^^^^^^^^^^^^^^^ 71 | 72 | * `Saving and Loading Variables`_: The official documentation on saving and restoring variables 73 | * `save and restore Tensorflow models`_: A quick tutorial to save and restore Tensorflow models 74 | 75 | .. _Saving and Loading Variables: https://www.tensorflow.org/programmers_guide/variables 76 | .. _save and restore Tensorflow models: http://cv-tricks.com/tensorflow-tutorial/save-restore-tensorflow-models-quick-complete-tutorial/ 77 | 78 | ^^^^^^^^^^^^^^^^^ 79 | Sharing Variables 80 | ^^^^^^^^^^^^^^^^^ 81 | 82 | * `Sharing Variables`_: The official documentation on how to share variables 83 | 84 | .. _Sharing Variables: https://www.tensorflow.org/programmers_guide/variable_scope 85 | 86 | ~~~~~~~~~~~~~~~~~ 87 | Visual Resources 88 | ~~~~~~~~~~~~~~~~~ 89 | 90 | * `Deep Learning with Tensorflow - Tensors and Variables`_: A Tensorflow tutorial for introducing Tensors, Variables and Placeholders 91 | * `Tensorflow Variables`_: A quick introduction to TensorFlow variables 92 | * `Save and Restore in TensorFlow`_: TensorFlow Tutorial on Save and Restore variables 93 | 94 | .. _Deep Learning with Tensorflow - Tensors and Variables: https://www.youtube.com/watch?v=zgV-WzLyrYE 95 | .. _Tensorflow Variables: https://www.youtube.com/watch?v=UYyqNH3r4lk 96 | .. _Save and Restore in TensorFlow: https://www.tensorflow.org/programmers_guide/variable_scope 97 | 98 | -------------------- 99 | TensorFlow Utilities 100 | -------------------- 101 | 102 | Different utilities empower TensorFlow for faster computation in a more monitored manner. 103 | 104 | ~~~~~~~~~~~~~~~~~ 105 | Written Resources 106 | ~~~~~~~~~~~~~~~~~ 107 | 108 | ^^^^^^^^^^ 109 | Supervisor 110 | ^^^^^^^^^^ 111 | 112 | * `Supervisor - Training Helper for Days-Long Trainings`_: The official documentation for TensorFLow Supervisor. 113 | * `Using TensorFlow Supervisor with TensorBoard summary groups`_: Using both TensorBoard and the Supervisor for profit 114 | * `Tensorflow example`_: A TensorFlow example using Supervisor. 115 | 116 | 117 | .. _Supervisor - Training Helper for Days-Long Trainings: https://www.tensorflow.org/programmers_guide/supervisor 118 | .. _Using TensorFlow Supervisor with TensorBoard summary groups: https://dev.widemeadows.de/2017/01/21/using-tensorflows-supervisor-with-tensorboard-summary-groups/ 119 | .. _Tensorflow example: http://codata.colorado.edu/notebooks/tutorials/tensorflow_example_davis_yoshida/ 120 | 121 | ^^^^^^^^^^^^^^^^^^^ 122 | TensorFlow Debugger 123 | ^^^^^^^^^^^^^^^^^^^ 124 | 125 | * `TensorFlow Debugger (tfdbg) Command-Line-Interface Tutorial`_: Official documentation for using debugger for MNIST 126 | * `How to Use TensorFlow Debugger with tf.contrib.learn`_: A more high-level method to use the debugger. 127 | * `Debugging TensorFlow Codes`_: A Practical Guide for Debugging TensorFlow Codes 128 | * `Debug TensorFlow Models with tfdbg`_: A tutorial by Google Developers Blog 129 | 130 | 131 | .. _TensorFlow Debugger (tfdbg) Command-Line-Interface Tutorial: https://www.tensorflow.org/programmers_guide/debugger 132 | .. _How to Use TensorFlow Debugger with tf.contrib.learn: https://www.tensorflow.org/programmers_guide/tfdbg-tflearn 133 | .. _Debugging TensorFlow Codes: https://github.com/wookayin/tensorflow-talk-debugging 134 | .. _Debug TensorFlow Models with tfdbg: https://developers.googleblog.com/2017/02/debug-tensorflow-models-with-tfdbg.html 135 | 136 | ^^^^^^^^^^ 137 | MetaGraphs 138 | ^^^^^^^^^^ 139 | 140 | * `Exporting and Importing a MetaGraph`_: Official TensorFlow documentation 141 | * `Model checkpointing using meta-graphs in TensorFlow`_: A working example 142 | 143 | .. _Exporting and Importing a MetaGraph: https://www.tensorflow.org/programmers_guide/meta_graph 144 | .. _Model checkpointing using meta-graphs in TensorFlow: http://www.seaandsailor.com/tensorflow-checkpointing.html 145 | 146 | ^^^^^^^^^^^ 147 | Tensorboard 148 | ^^^^^^^^^^^ 149 | 150 | * `TensorBoard - Visualizing Learning`_: Official documentation by TensorFlow. 151 | * `TensorFlow Ops`_: Provided by Stanford 152 | * `Visualisation with TensorBoard`_: A tutorial on how to create and visualize a graph using TensorBoard 153 | * `Tensorboard`_: A brief tutorial on Tensorboard 154 | 155 | .. _TensorBoard - Visualizing Learning: https://www.tensorflow.org/get_started/summaries_and_tensorboard 156 | .. _TensorFlow Ops: http://web.stanford.edu/class/cs20si/lectures/notes_02.pdf 157 | .. _Visualisation with TensorBoard: http://learningtensorflow.com/Visualisation/ 158 | .. _Tensorboard: http://edwardlib.org/tutorials/tensorboard 159 | 160 | ~~~~~~~~~~~~~~~~~ 161 | Visual Resources 162 | ~~~~~~~~~~~~~~~~~ 163 | 164 | * `Hands-on TensorBoard (TensorFlow Dev Summit 2017)`_: An introduction to the amazing things you can do with TensorBoard 165 | * `Tensorboard Explained in 5 Min`_: Providing the code for a simple handwritten character classifier in Python and visualizing it in Tensorboard 166 | * `How to Use Tensorboard`_: Going through a bunch of different features in Tensorboard 167 | 168 | 169 | .. _Hands-on TensorBoard (TensorFlow Dev Summit 2017): https://www.youtube.com/watch?v=eBbEDRsCmv4 170 | .. _Tensorboard Explained in 5 Min: https://www.youtube.com/watch?v=3bownM3L5zM 171 | .. _How to Use Tensorboard: https://www.youtube.com/watch?v=fBVEXKp4DIc 172 | -------------------------------------------------------------------------------- /docs/source/saved/conf.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | # -*- coding: utf-8 -*- 3 | 4 | # Use sphinx-quickstart to create your own conf.py file! 5 | # After that, you have to edit a few things. See below. 6 | 7 | import sphinx_py3doc_enhanced_theme 8 | 9 | # Select nbsphinx and, if needed, add a math extension (mathjax or pngmath): 10 | extensions = [ 11 | 'nbsphinx', 12 | 'sphinx.ext.mathjax', 13 | ] 14 | 15 | # Exclude build directory and Jupyter backup files: 16 | exclude_patterns = ['_build', '**.ipynb_checkpoints'] 17 | 18 | # Default language for syntax highlighting in reST and Markdown cells 19 | highlight_language = 'none' 20 | 21 | # Don't add .txt suffix to source files (available for Sphinx >= 1.5): 22 | html_sourcelink_suffix = '' 23 | 24 | # Execute notebooks before conversion: 'always', 'never', 'auto' (default) 25 | #nbsphinx_execute = 'never' 26 | 27 | # Use this kernel instead of the one stored in the notebook metadata: 28 | #nbsphinx_kernel_name = 'python3' 29 | 30 | # List of arguments to be passed to the kernel that executes the notebooks: 31 | #nbsphinx_execute_arguments = ['--InlineBackend.figure_formats={"png", "pdf"}'] 32 | 33 | # If True, the build process is continued even if an exception occurs: 34 | #nbsphinx_allow_errors = True 35 | 36 | # Controls when a cell will time out (defaults to 30; use -1 for no timeout): 37 | #nbsphinx_timeout = 60 38 | 39 | # Default Pygments lexer for syntax highlighting in code cells: 40 | #nbsphinx_codecell_lexer = 'ipython3' 41 | 42 | # Width of input/output prompts used in CSS: 43 | #nbsphinx_prompt_width = '8ex' 44 | 45 | # If window is narrower than this, input/output prompts are on separate lines: 46 | #nbsphinx_responsive_width = '700px' 47 | 48 | # -- The settings below this line are not specific to nbsphinx ------------ 49 | 50 | master_doc = 'index' 51 | 52 | project = 'TensorFlow-World-Resources' 53 | author = 'Amirsina Torfi' 54 | copyright = '2017, ' + author 55 | 56 | linkcheck_ignore = [r'http://localhost:\d+/'] 57 | 58 | # -- Get version information from Git ------------------------------------- 59 | 60 | try: 61 | from subprocess import check_output 62 | release = check_output(['git', 'describe', '--tags', '--always']) 63 | release = release.decode().strip() 64 | except Exception: 65 | release = '' 66 | 67 | # -- Options for HTML output ---------------------------------------------- 68 | 69 | html_title = project + ' version ' + release 70 | html_theme = "sphinx_py3doc_enhanced_theme" 71 | html_theme_path = [sphinx_py3doc_enhanced_theme.get_html_theme_path()] 72 | html_logo = '_img/tflogo.gif' 73 | html_theme_options = { 74 | 'githuburl': 'https://github.com/astorfi/TensorFlow-World-Resources', 75 | } 76 | 77 | # -- Options for LaTeX output --------------------------------------------- 78 | 79 | latex_elements = { 80 | 'papersize': 'a4paper', 81 | 'preamble': r""" 82 | \usepackage[sc,osf]{mathpazo} 83 | \linespread{1.05} % see http://www.tug.dk/FontCatalogue/urwpalladio/ 84 | \renewcommand{\sfdefault}{pplj} % Palatino instead of sans serif 85 | \IfFileExists{zlmtt.sty}{ 86 | \usepackage[light,scaled=1.05]{zlmtt} % light typewriter font from lmodern 87 | }{ 88 | \renewcommand{\ttdefault}{lmtt} % typewriter font from lmodern 89 | } 90 | """, 91 | } 92 | 93 | latex_documents = [ 94 | (master_doc, 'nbsphinx.tex', project, author, 'howto'), 95 | ] 96 | 97 | latex_show_urls = 'footnote' 98 | 99 | 100 | 101 | 102 | ########################################################################### 103 | # auto-created readthedocs.org specific configuration # 104 | ########################################################################### 105 | 106 | 107 | # 108 | # The following code was added during an automated build on readthedocs.org 109 | # It is auto created and injected for every build. The result is based on the 110 | # conf.py.tmpl file found in the readthedocs.org codebase: 111 | # https://github.com/rtfd/readthedocs.org/blob/master/readthedocs/doc_builder/templates/doc_builder/conf.py.tmpl 112 | # 113 | 114 | 115 | import sys 116 | import os.path 117 | from six import string_types 118 | 119 | from sphinx import version_info 120 | 121 | # Get suffix for proper linking to GitHub 122 | # This is deprecated in Sphinx 1.3+, 123 | # as each page can have its own suffix 124 | if globals().get('source_suffix', False): 125 | if isinstance(source_suffix, string_types): 126 | SUFFIX = source_suffix 127 | else: 128 | SUFFIX = source_suffix[0] 129 | else: 130 | SUFFIX = '.rst' 131 | 132 | # Add RTD Static Path. Add to the end because it overwrites previous files. 133 | if not 'html_static_path' in globals(): 134 | html_static_path = [] 135 | if os.path.exists('_static'): 136 | html_static_path.append('_static') 137 | html_static_path.append('/home/docs/checkouts/readthedocs.org/readthedocs/templates/sphinx/_static') 138 | 139 | # Add RTD Theme only if they aren't overriding it already 140 | using_rtd_theme = False 141 | if 'html_theme' in globals(): 142 | if html_theme in ['default']: 143 | # Allow people to bail with a hack of having an html_style 144 | if not 'html_style' in globals(): 145 | import sphinx_rtd_theme 146 | html_theme = 'sphinx_rtd_theme' 147 | html_style = None 148 | html_theme_options = {} 149 | if 'html_theme_path' in globals(): 150 | html_theme_path.append(sphinx_rtd_theme.get_html_theme_path()) 151 | else: 152 | html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] 153 | 154 | using_rtd_theme = True 155 | else: 156 | import sphinx_rtd_theme 157 | html_theme = 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"/en/traditional-theme/"), 184 | ("rtd-theme", "/en/rtd-theme/"), 185 | ("pyramid-theme", "/en/pyramid-theme/"), 186 | ("py3doc-enh-theme", "/en/py3doc-enh-theme/"), 187 | ("nature-theme", "/en/nature-theme/"), 188 | ("jupyter-theme", "/en/jupyter-theme/"), 189 | ("julia-theme", "/en/julia-theme/"), 190 | ("haiku-theme", "/en/haiku-theme/"), 191 | ("guzzle-theme", "/en/guzzle-theme/"), 192 | ("dotted-theme", "/en/dotted-theme/"), 193 | ("conda-again", "/en/conda-again/"), 194 | ("cloud-theme", "/en/cloud-theme/"), 195 | ("classic-theme", "/en/classic-theme/"), 196 | ("bootstrap-theme", "/en/bootstrap-theme/"), 197 | ("bizstyle-theme", "/en/bizstyle-theme/"), 198 | ("better-theme", "/en/better-theme/"), 199 | ("basicstrap-theme", "/en/basicstrap-theme/"), 200 | ("alabaster-theme", "/en/alabaster-theme/"), 201 | ("agogo-theme", "/en/agogo-theme/"), 202 | ], 203 | 'downloads': [ 204 | ("pdf", "//readthedocs.org/projects/nbsphinx/downloads/pdf/py3doc-enh-theme/"), 205 | ("htmlzip", "//readthedocs.org/projects/nbsphinx/downloads/htmlzip/py3doc-enh-theme/"), 206 | ], 207 | 'subprojects': [ 208 | ], 209 | 'slug': 'nbsphinx', 210 | 'name': u'nbsphinx', 211 | 'rtd_language': u'en', 212 | 'canonical_url': 'http://nbsphinx.readthedocs.io/en/0.2.14/', 213 | 'analytics_code': '', 214 | 'single_version': False, 215 | 'conf_py_path': '/doc/', 216 | 'api_host': 'https://readthedocs.org', 217 | 'github_user': 'astorfi', 218 | 'github_repo': 'TensorFlow-World-Resources', 219 | 'github_version': 'py3doc-enh-theme', 220 | 'display_github': True, 221 | 'bitbucket_user': 'None', 222 | 'bitbucket_repo': 'None', 223 | 'bitbucket_version': 'py3doc-enh-theme', 224 | 'display_bitbucket': False, 225 | 'READTHEDOCS': True, 226 | 'using_theme': (html_theme == "default"), 227 | 'new_theme': (html_theme == "sphinx_rtd_theme"), 228 | 'source_suffix': SUFFIX, 229 | 'user_analytics_code': '', 230 | 'global_analytics_code': 'UA-17997319-1', 231 | 232 | 'commit': 'e949221b', 233 | 234 | } 235 | if 'html_context' in globals(): 236 | html_context.update(context) 237 | else: 238 | html_context = context 239 | 240 | # Add custom RTD extension 241 | if 'extensions' in globals(): 242 | extensions.append("readthedocs_ext.readthedocs") 243 | else: 244 | extensions = ["readthedocs_ext.readthedocs"] 245 | -------------------------------------------------------------------------------- /docs/source/content/tutorials.rst: -------------------------------------------------------------------------------- 1 | ==================== 2 | TensorFlow Tutorials 3 | ==================== 4 | 5 | This section is dedicated to provide tutorial resources on the implementation of 6 | different models with TensorFlow. 7 | 8 | ------------------------------ 9 | Linear and Logistic Regression 10 | ------------------------------ 11 | 12 | ~~~~~~~~~~~~~~~~~ 13 | Written Resources 14 | ~~~~~~~~~~~~~~~~~ 15 | 16 | * `TensorFlow Linear Model Tutorial`_: Using TF.Learn API in TensorFlow to solve a binary classification problem 17 | * `Linear Regression in Tensorflow`_: Predicting house prices in Boston area 18 | * `Linear regression with Tensorflow`_: Make use of tensorflow for numeric computation using data flow graphs 19 | * `Logistic Regression in Tensorflow with SMOTE`_: Implementation of Logistic Regression in TensorFlow 20 | * `A TensorFlow Tutorial - Email Classification`_: Using a simple logistic regression classifier 21 | * `Linear Regression using TensorFlow`_: Training a linear model by TensorFlow 22 | * `Logistic Regression using TensorFlow`_: Training a logistic regression by TensorFlow for binary classification 23 | 24 | 25 | .. _TensorFlow Linear Model Tutorial: https://www.tensorflow.org/tutorials/wide 26 | .. _Linear Regression in Tensorflow: https://aqibsaeed.github.io/2016-07-07-TensorflowLR/ 27 | .. _Linear regression with Tensorflow: https://www.linkedin.com/pulse/linear-regression-tensorflow-iv%C3%A1n-corrales-solera 28 | .. _Logistic Regression in Tensorflow with SMOTE: https://aqibsaeed.github.io/2016-08-10-logistic-regression-tf/ 29 | .. _A TensorFlow Tutorial - Email Classification: http://jrmeyer.github.io/tutorial/2016/02/01/TensorFlow-Tutorial.html 30 | .. _Linear Regression using TensorFlow: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/2-basics_in_machine_learning/linear_regression 31 | .. _Logistic Regression using TensorFlow: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/2-basics_in_machine_learning/logistic_regression 32 | 33 | ~~~~~~~~~~~~~~~~~ 34 | Visual Resources 35 | ~~~~~~~~~~~~~~~~~ 36 | 37 | * `Deep Learning with Tensorflow - Logistic Regression`_: A tutorial on Logistic Regression 38 | * `Deep Learning with Tensorflow - Linear Regression with TensorFlow`_: A tutorial on Linear Regression 39 | 40 | .. _Deep Learning with Tensorflow - Logistic Regression: https://www.youtube.com/watch?v=4cBRxZavvTo&t=1s 41 | .. _Deep Learning with Tensorflow - Linear Regression with TensorFlow: https://www.youtube.com/watch?v=zNalsMIB3NE 42 | 43 | 44 | ------------------------------ 45 | Convolutional Neural Networks 46 | ------------------------------ 47 | 48 | ~~~~~~~~~~~~~~~~~ 49 | Written Resources 50 | ~~~~~~~~~~~~~~~~~ 51 | 52 | * `Convolutional Neural Networks`_: Official TensorFlow documentation 53 | * `Convolutional Neural Networks using TensorFlow`_: Training a classifier using convolutional neural networks 54 | * `Image classifier using convolutional neural network`_: Building a convolutional neural network based image classifier 55 | * `Convolutional Neural Network CNN with TensorFlow tutorial`_: It covers how to write a basic convolutional neural network within TensorFlow with Python 56 | * `Deep Learning CNNs in Tensorflow with GPUs`_: Designing the architecture of a convolutional neural network (CNN) 57 | 58 | 59 | .. _Convolutional Neural Networks: https://www.tensorflow.org/tutorials/deep_cnn 60 | .. _Convolutional Neural Networks using TensorFlow: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/3-neural_network/convolutiona_neural_network 61 | .. _Image classifier using convolutional neural network: http://cv-tricks.com/tensorflow-tutorial/training-convolutional-neural-network-for-image-classification/ 62 | .. _Convolutional Neural Network CNN with TensorFlow tutorial: https://pythonprogramming.net/cnn-tensorflow-convolutional-nerual-network-machine-learning-tutorial/ 63 | .. _Deep Learning CNNs in Tensorflow with GPUs: https://hackernoon.com/deep-learning-cnns-in-tensorflow-with-gpus-cba6efe0acc2 64 | 65 | ~~~~~~~~~~~~~~~~~ 66 | Visual Resources 67 | ~~~~~~~~~~~~~~~~~ 68 | 69 | * `Deep Learning with Neural Networks`_: Convolutional Neural Networks with TensorFlow 70 | * `TensorFlow Tutorial`_: Convolutional Neural Network 71 | * `Understanding Convolution with TensorFlow`_: A tutorial on Convolution operation with TensorFlow 72 | * `Deep Learning with Tensorflow`_: Convolutional Network with TensorFlow 73 | 74 | .. _Deep Learning with Neural Networks: https://www.youtube.com/watch?v=mynJtLhhcXk 75 | .. _TensorFlow Tutorial: https://www.youtube.com/watch?v=HMcx-zY8JSg 76 | .. _Understanding Convolution with TensorFlow: https://www.youtube.com/watch?v=ETdaP_bBNWc 77 | .. _Deep Learning with Tensorflow: https://www.youtube.com/watch?v=yL-MkBSv18c 78 | 79 | ------------------------- 80 | Recurrent Neural Networks 81 | ------------------------- 82 | 83 | ~~~~~~~~~~~~~~~~~ 84 | Written Resources 85 | ~~~~~~~~~~~~~~~~~ 86 | 87 | * `Recurrent Neural Networks`_: TensorFlow official documentation 88 | * `How to build a Recurrent Neural Network in TensorFlow`_: How to build a simple working Recurrent Neural Network in TensorFlow 89 | * `Recurrent Neural Networks in Tensorflow`_: Building a vanilla recurrent neural network (RNN) from the ground up in Tensorflow 90 | * `RNNs in Tensorflow - a Practical Guide and Undocumented Features`_: Going over some of the best practices for working with RNNs in Tensorflow 91 | * `RNN / LSTM cell example in TensorFlow and Python`_: Covering how to code a Recurrent Neural Network model with an LSTM in TensorFlow 92 | * `Sequence prediction using recurrent neural networks(LSTM) with TensorFlow`_: How to approximate a sequence of vectors using a recurrent neural networks 93 | * `TensorFlow RNN Tutorial`_: Recurrent Neural Networks for exploring time series and developing speech recognition capabilities 94 | 95 | .. _Recurrent Neural Networks: https://www.tensorflow.org/tutorials/recurrent 96 | .. _How to build a Recurrent Neural Network in TensorFlow: https://medium.com/@erikhallstrm/hello-world-rnn-83cd7105b767 97 | .. _Recurrent Neural Networks in Tensorflow: https://r2rt.com/recurrent-neural-networks-in-tensorflow-i.html 98 | .. _RNNs in Tensorflow - a Practical Guide and Undocumented Features: http://www.wildml.com/2016/08/rnns-in-tensorflow-a-practical-guide-and-undocumented-features/ 99 | .. _RNN / LSTM cell example in TensorFlow and Python: https://pythonprogramming.net/rnn-tensorflow-python-machine-learning-tutorial/ 100 | .. _Sequence prediction using recurrent neural networks(LSTM) with TensorFlow: http://mourafiq.com/2016/05/15/predicting-sequences-using-rnn-in-tensorflow.html 101 | .. _TensorFlow RNN Tutorial: https://svds.com/tensorflow-rnn-tutorial/ 102 | 103 | ~~~~~~~~~~~~~~~~~ 104 | Visual Resources 105 | ~~~~~~~~~~~~~~~~~ 106 | 107 | * `Deep Learning with Neural Networks and TensorFlow`_: Recurrent Neural Networks (RNN) 108 | * `An Introduction to LSTMs in Tensorflow`_: A brief tutorial 109 | * `Deep Learning with Tensorflow - The Recurrent Neural Network Model`_: A tutorial on the Recurrent Neural Network Models 110 | * `Sequence Models and the RNN API`_: TensorFlow Dev Summit 2017 111 | * `RNN Example in Tensorflow`_: A quick tutorial 112 | 113 | .. _Deep Learning with Neural Networks and TensorFlow: https://www.youtube.com/watch?v=hWgGJeAvLws 114 | .. _An Introduction to LSTMs in Tensorflow: https://www.youtube.com/watch?v=l4X-kZjl1gs 115 | .. _Deep Learning with Tensorflow - The Recurrent Neural Network Model: https://www.youtube.com/watch?v=C0xoB8L8ms0&t=89s 116 | .. _Sequence Models and the RNN API: https://www.youtube.com/watch?v=RIR_-Xlbp7s 117 | .. _RNN Example in Tensorflow: https://www.youtube.com/watch?v=dFARw8Pm0Gk 118 | 119 | ------------- 120 | Autoencoders 121 | ------------- 122 | 123 | ~~~~~~~~~~~~~~~~~ 124 | Written Resources 125 | ~~~~~~~~~~~~~~~~~ 126 | 127 | * `Deep Autoencoder with TensorFlow`_: An open source project 128 | * `Variational Autoencoder in TensorFlow`_: A tutorial on Variational Autoencoder 129 | * `Diving Into TensorFlow With Stacked Autoencoders`_: A nice brief tutorials 130 | * `Convolutional Autoencoders in Tensorflow`_: Implementing a single layer CAE 131 | * `Variational Autoencoder using Tensorflow`_: Facial expression low dimensional embedding 132 | 133 | .. _Deep Autoencoder with TensorFlow: https://github.com/cmgreen210/TensorFlowDeepAutoencoder 134 | .. _Variational Autoencoder in TensorFlow: https://jmetzen.github.io/2015-11-27/vae.html 135 | .. _Diving Into TensorFlow With Stacked Autoencoders: http://cmgreen.io/2016/01/04/tensorflow_deep_autoencoder.html 136 | .. _Convolutional Autoencoders in Tensorflow: https://pgaleone.eu/neural-networks/deep-learning/2016/12/13/convolutional-autoencoders-in-tensorflow/ 137 | .. _Variational Autoencoder using Tensorflow: http://int8.io/variational-autoencoder-in-tensorflow/ 138 | 139 | ~~~~~~~~~~~~~~~~~ 140 | Visual Resources 141 | ~~~~~~~~~~~~~~~~~ 142 | 143 | * `Deep Learning with Tensorflow - Autoencoder Structure`_: Tutorial on Autoencoder models 144 | * `Deep Learning with Tensorflow - RBMs and Autoencoders`_: Tutorial on Restricted Boltzmann machines and AEs 145 | 146 | .. _Deep Learning with Tensorflow - Autoencoder Structure: https://www.youtube.com/watch?v=H_Bi_PQWJJc 147 | .. _Deep Learning with Tensorflow - RBMs and Autoencoders: https://www.youtube.com/watch?v=FsAvo0E5Pmw 148 | 149 | ----------------- 150 | Generative models 151 | ----------------- 152 | 153 | ~~~~~~~~~~~~~~~~~ 154 | Written Resources 155 | ~~~~~~~~~~~~~~~~~ 156 | 157 | * `Generative Adversarial Nets in TensorFlow`_: Implementing GAN using TensorFlow, with MNIST data 158 | * `Generative Adversarial Networks`_: A working example of Generative Adversarial Networks 159 | 160 | .. _Generative Adversarial Nets in TensorFlow: http://wiseodd.github.io/techblog/2016/09/17/gan-tensorflow/ 161 | .. _Generative Adversarial Networks: http://edwardlib.org/tutorials/gan 162 | 163 | ~~~~~~~~~~~~~~~~~ 164 | Visual Resources 165 | ~~~~~~~~~~~~~~~~~ 166 | 167 | * `TensorFlow Tutorial - Adversarial Examples`_: A tutorial on a working example for generative models 168 | 169 | .. _TensorFlow Tutorial - Adversarial Examples: link 170 | 171 | ------------- 172 | Multiple GPUs 173 | ------------- 174 | 175 | ~~~~~~~~~~~~~~~~~ 176 | Written Resources 177 | ~~~~~~~~~~~~~~~~~ 178 | 179 | * `Using GPUs`_: Official TensorFlow documentation 180 | * `Deep Learning with Multiple GPUs on Rescale`_: TensorFlow Tutorial 181 | 182 | .. _Using GPUs: https://www.tensorflow.org/tutorials/using_gpu 183 | .. _Deep Learning with Multiple GPUs on Rescale: https://blog.rescale.com/deep-learning-with-multiple-gpus-on-rescale-tensorflow/ 184 | -------------------------------------------------------------------------------- /README.rst: -------------------------------------------------------------------------------- 1 | 2 | ******************************************** 3 | TensorFlow Roadmap 4 | ******************************************** 5 | .. _Project Page: http://tensorflow-world-resources.readthedocs.io/en/latest/ 6 | 7 | .. .. image:: https://travis-ci.org/astorfi/TensorFlow-World-Resources.svg?branch=master 8 | .. :target: https://travis-ci.org/astorfi/TensorFlow-World-Resources 9 | .. image:: https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat 10 | :target: https://github.com/astorfi/TensorFlow-World-Resources/pulls 11 | .. image:: https://badges.frapsoft.com/os/v2/open-source.svg?v=102 12 | :target: https://github.com/ellerbrock/open-source-badge/ 13 | .. image:: https://coveralls.io/repos/github/astorfi/TensorFlow-World-Resources/badge.svg?branch=master 14 | :target: https://coveralls.io/github/astorfi/TensorFlow-World-Resources?branch=master 15 | .. image:: https://img.shields.io/twitter/follow/amirsinatorfi.svg?label=Follow&style=social 16 | :target: https://twitter.com/amirsinatorfi 17 | 18 | To support maintaining and upgrading this project, please kindly consider `Sponsoring the project developer `_. 19 | 20 | Any level of support is a great contribution here :heart: 21 | 22 | .. raw:: html 23 | 24 |
25 | 26 | .. raw:: html 27 | 28 | 29 | 30 | 31 | 32 | .. raw:: html 33 | 34 |
35 | 36 | ################################################### 37 | Download Free TensorFlow Roadmap EBook 38 | ################################################### 39 | 40 | .. raw:: html 41 | 42 |
43 | 44 | .. raw:: html 45 | 46 | 47 | 48 | 49 | 50 | .. raw:: html 51 | 52 |
53 | 54 | ################# 55 | Table of Contents 56 | ################# 57 | .. contents:: 58 | :local: 59 | :depth: 3 60 | 61 | ============ 62 | Introduction 63 | ============ 64 | 65 | The purpose of this project is to introduce a shortcut to developers and researcher 66 | for finding useful resources about TensorFlow. 67 | 68 | 69 | 70 | ----------- 71 | Motivation 72 | ----------- 73 | 74 | There are different motivations for this open source project. 75 | 76 | ~~~~~~~~~~~~~~~~~~~~~ 77 | Why using TensorFlow? 78 | ~~~~~~~~~~~~~~~~~~~~~ 79 | 80 | A deep learning is of great interest these days, the crucial necessity for rapid and optimized implementation of the algorithms 81 | and designing architectures is the software environment. TensorFlow is designed to facilitate this goal. The strong advantage of 82 | TensorFlow is it flexibility is designing highly modular model which also can be a disadvantage too for beginners since lots of 83 | the pieces must be considered together for creating the model. This issue has been facilitated as well by developing high-level APIs 84 | such as `Keras `_ and `Slim `_ 85 | which gather lots of the design puzzle pieces. The interesting point about TensorFlow is that **its trace can be found anywhere these days**. 86 | Lots of the researchers and developers are using it and *its community is growing with the speed of light*! So the possible issues can 87 | be overcame easily since they might be the issues of lots of other people considering a large number of people involved in TensorFlow community. 88 | 89 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | What's the point of this open source project? 91 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | 93 | There other similar repositories similar to this repository and are very 94 | comprehensive and useful and to be honest they made me ponder if there is 95 | a necessity for this repository! A great example is `awesome-tensorflow `_ 96 | repository which is a curated list of different TensorFlow resources. 97 | 98 | **The point of this repository is that the resources are being targeted**. The organization 99 | of the resources is such that the user can easily find the things he/she is looking for. 100 | We divided the resources to a large number of categories that in the beginning one may 101 | have a headache!!! However, if someone knows what is being located, it is very easy to find the most related resources. 102 | Even if someone doesn't know what to look for, in the beginning, the general resources have 103 | been provided. 104 | 105 | 106 | ------------------------------------ 107 | How to make the most of this effort 108 | ------------------------------------ 109 | 110 | The written and visual resources have been split. Moreover, As one can search 111 | in the documentation, the number of categories might look to be too much. For 112 | finding the most relevant resources, please at first look through the general resources. 113 | 114 | ============================ 115 | Entrance to TensorFlow World 116 | ============================ 117 | 118 | In this section, different TensorFlow topics and their associated 119 | resources will be addressed. 120 | 121 | ------------- 122 | Installation 123 | ------------- 124 | 125 | .. image:: _img/mainpage/installation.gif 126 | 127 | First of all, the TensorFlow must be installed! 128 | 129 | 130 | * `Installing TensorFlow`_: Official TensorFLow installation 131 | * `Install TensorFlow from the source`_: A comprehensive guide on how to install TensorFlow from the source using python/anaconda 132 | * `TensorFlow Installation`_: A short TensorFlow installation guide powered by NVIDIA 133 | * `7 SIMPLE STEPS TO INSTALL TENSORFLOW ON WINDOWS`_: A concise tutorial for installing TensorFlow on Windows 134 | 135 | .. _Installing TensorFlow: https://www.tensorflow.org/install/ 136 | .. _Install TensorFlow from the source: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/installation 137 | .. _TensorFlow Installation: http://www.nvidia.com/object/gpu-accelerated-applications-tensorflow-installation.html 138 | .. _7 SIMPLE STEPS TO INSTALL TENSORFLOW ON WINDOWS: http://saintlad.com/install-tensorflow-on-windows/ 139 | 140 | 141 | * `Install TensorFlow on Ubuntu`_: A comprehensive tutorial on how to install TensorFlow on Ubuntu 142 | * `Installation of TensorFlow`_: The video covers how to setup TensorFlow 143 | * `Installing CPU and GPU TensorFlow on Windows`_: A tutorial on TensorFlow installation for Windows 144 | * `Installing the GPU version of TensorFlow for making use of your CUDA GPU`_: A GPU-targeted TensoFlow installation 145 | 146 | 147 | .. _Install TensorFlow on Ubuntu: https://www.youtube.com/watch?v=_3JFEPk4qQY&t=3s 148 | .. _Installation of TensorFlow: https://www.youtube.com/watch?v=CvspEt8kSIg 149 | .. _Installing CPU and GPU TensorFlow on Windows: https://www.youtube.com/watch?v=r7-WPbx8VuY 150 | .. _Installing the GPU version of TensorFlow for making use of your CUDA GPU: https://www.youtube.com/watch?v=io6Ajf5XkaM 151 | 152 | --------------- 153 | Getting Started 154 | --------------- 155 | 156 | .. image:: _img/mainpage/gettingstarted.gif 157 | 158 | This part points to resources on how to start to code with TensorFLow 159 | 160 | 161 | * `Getting Started With TensorFlow Framework`_: This guide gets you started programming in TensorFlow 162 | * `learning TensorFlow Deep Learning`_:A great resource to start 163 | * `Welcome to TensorFlow World`_: A simple and concise start to TensorFLow 164 | 165 | .. _learning TensorFlow Deep Learning: http://learningtensorflow.com/getting_started/ 166 | .. _Getting Started With TensorFlow Framework: https://www.tensorflow.org/get_started/get_started 167 | .. _Welcome to TensorFlow World: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/0-welcome 168 | 169 | 170 | * `Gentlest Introduction to Tensorflow `_ 171 | * `TensorFlow in 5 Minutes `_ 172 | * `Deep Learning with TensorFlow - Introduction to TensorFlow `_ 173 | * `TensorFlow Tutorial (Sherry Moore, Google Brain) `_ 174 | * `Deep Learning with Neural Networks and TensorFlow Introduction `_ 175 | * `A fast with TensorFlow `_ 176 | 177 | -------------------------- 178 | Going Deeper in TensorFLow 179 | -------------------------- 180 | 181 | .. image:: _img/mainpage/goingdeep.gif 182 | 183 | Advanced machine learning users can go deeper in TensorFlow in order to 184 | *hit the root*. Scratching the surface may never take us too further! 185 | 186 | 187 | * `TensorFlow Mechanics`_: More experienced machine learning users can dig more in TensorFlow 188 | * `Advanced TensorFlow`_: Advanced Tutorials in TensorFlow 189 | * `We Need to Go Deeper`_: A Practical Guide to Tensorflow and Inception 190 | * `Wide and Deep Learning - Better Together with TensorFlow`_: A tutorial by Google Research Blog 191 | 192 | .. _TensorFlow Mechanics: https://www.tensorflow.org/get_started/mnist/mechanics 193 | .. _Advanced TensorFlow: https://github.com/sjchoi86/advanced-tensorflow 194 | .. _We Need to Go Deeper: https://medium.com/initialized-capital/we-need-to-go-deeper-a-practical-guide-to-tensorflow-and-inception-50e66281804f 195 | .. _Wide and Deep Learning - Better Together with TensorFlow: https://research.googleblog.com/2016/06/wide-deep-learning-better-together-with.html 196 | 197 | 198 | * `TensorFlow DeepDive`_: More experienced machine learning users can dig more in TensorFlow 199 | * `Go Deeper - Transfer Learning`_: TensorFlow and Deep Learning 200 | * `Distributed TensorFlow - Design Patterns and Best Practices`_: A talk that was given at the Advanced Spark and TensorFlow Meetup 201 | * `Distributed TensorFlow Guide`_ 202 | * `Fundamentals of TensorFlow`_ 203 | * `TensorFlow Wide and Deep - Advanced Classification the easy way`_ 204 | * `Tensorflow and deep learning - without a PhD`_: A great tutorial on TensoFLow workflow 205 | 206 | 207 | 208 | .. _TensorFlow DeepDive: https://www.youtube.com/watch?v=T0H6zF3K1mc 209 | .. _Go Deeper - Transfer Learning: https://www.youtube.com/watch?v=iu3MOQ-Z3b4 210 | .. _Distributed TensorFlow - Design Patterns and Best Practices: https://www.youtube.com/watch?v=YAkdydqUE2c 211 | .. _Distributed TensorFlow Guide: https://github.com/tmulc18/Distributed-TensorFlow-Guide 212 | .. _Fundamentals of TensorFlow: https://www.youtube.com/watch?v=EM6SU8QVSlY 213 | .. _TensorFlow Wide and Deep - Advanced Classification the easy way: https://www.youtube.com/watch?v=WKgNNC0VLhM 214 | .. _Tensorflow and deep learning - without a PhD: https://www.youtube.com/watch?v=vq2nnJ4g6N0 215 | 216 | 217 | ============================ 218 | Programming with TensorFlow 219 | ============================ 220 | 221 | The references here, deal with the details of programming and writing TensorFlow code. 222 | 223 | -------------------------------- 224 | Reading data and input pipeline 225 | -------------------------------- 226 | 227 | .. image:: _img/mainpage/readingdata.gif 228 | 229 | The first part is always how to prepare data and how to provide the pipeline to feed it to TensorFlow. 230 | Usually providing the input pipeline can be complicated, even more than the structure design! 231 | 232 | * `Dataset API for TensorFlow Input Pipelines`_: A TensorFlow official documentation on *Using the Dataset API for TensorFlow Input Pipelines* 233 | * `TesnowFlow input pipeline`_: Input pipeline provided by Stanford. 234 | * `TensorFlow input pipeline example`_: A working example. 235 | * `TensorFlow Data Input`_: TensorFlow Data Input: Placeholders, Protobufs & Queues 236 | * `Reading data`_: The official documentation by the TensorFLow on how to read data 237 | * `basics of reading a CSV file`_: A tutorial on reading a CSV file 238 | * `Custom Data Readers`_: Official documentation on this how to define a reader. 239 | 240 | .. _Dataset API for TensorFlow Input Pipelines: https://github.com/tensorflow/tensorflow/tree/v1.2.0-rc1/tensorflow/contrib/data 241 | .. _TesnowFlow input pipeline: http://web.stanford.edu/class/cs20si/lectures/slides_09.pdf 242 | .. _TensorFlow input pipeline example: http://ischlag.github.io/2016/06/19/tensorflow-input-pipeline-example/ 243 | .. _TensorFlow Data Input: https://indico.io/blog/tensorflow-data-inputs-part1-placeholders-protobufs-queues/ 244 | .. _Reading data: https://www.tensorflow.org/programmers_guide/reading_data 245 | .. _basics of reading a CSV file: http://learningtensorflow.com/ReadingFilesBasic/ 246 | .. _Custom Data Readers: https://www.tensorflow.org/extend/new_data_formats 247 | 248 | * `Tensorflow tutorial on TFRecords`_: A tutorial on how to transform data into TFRecords 249 | 250 | .. _Tensorflow tutorial on TFRecords: https://www.youtube.com/watch?v=F503abjanHA 251 | 252 | * `An introduction to TensorFlow queuing and threading`_: A tutorial on how to understand and create queues an efficient pipelines 253 | 254 | .. _An introduction to TensorFlow queuing and threading: http://adventuresinmachinelearning.com/introduction-tensorflow-queuing/ 255 | 256 | ---------- 257 | Variables 258 | ---------- 259 | 260 | .. image:: _img/mainpage/variables.gif 261 | 262 | Variables are supposed to hold the parameters and supersede by new values as the parameters are updated. 263 | Variables must be clearly set and initialized. 264 | 265 | 266 | ~~~~~~~~~~~~~~~~~~~~~~~~ 267 | Creation, Initialization 268 | ~~~~~~~~~~~~~~~~~~~~~~~~ 269 | 270 | * `Variables Creation and Initialization`_: An official documentation on setting up variables 271 | * `Introduction to TensorFlow Variables - Creation and Initialization`_: This tutorial deals with defining and initializing TensorFlow variables 272 | * `Variables`_: An introduction to variables 273 | 274 | .. _Variables Creation and Initialization: https://www.tensorflow.org/programmers_guide/variables 275 | .. _Introduction to TensorFlow Variables - Creation and Initialization: http://machinelearninguru.com/deep_learning/tensorflow/basics/variables/variables.html 276 | .. _Variables: http://learningtensorflow.com/lesson2/ 277 | 278 | ~~~~~~~~~~~~~~~~~~~~~~ 279 | Saving and restoring 280 | ~~~~~~~~~~~~~~~~~~~~~~ 281 | 282 | * `Saving and Loading Variables`_: The official documentation on saving and restoring variables 283 | * `save and restore Tensorflow models`_: A quick tutorial to save and restore Tensorflow models 284 | 285 | .. _Saving and Loading Variables: https://www.tensorflow.org/programmers_guide/variables 286 | .. _save and restore Tensorflow models: http://cv-tricks.com/tensorflow-tutorial/save-restore-tensorflow-models-quick-complete-tutorial/ 287 | 288 | ~~~~~~~~~~~~~~~~~ 289 | Sharing Variables 290 | ~~~~~~~~~~~~~~~~~ 291 | 292 | * `Sharing Variables`_: The official documentation on how to share variables 293 | 294 | .. _Sharing Variables: https://www.tensorflow.org/programmers_guide/variable_scope 295 | 296 | * `Deep Learning with Tensorflow - Tensors and Variables`_: A Tensorflow tutorial for introducing Tensors, Variables and Placeholders 297 | * `Tensorflow Variables`_: A quick introduction to TensorFlow variables 298 | * `Save and Restore in TensorFlow`_: TensorFlow Tutorial on Save and Restore variables 299 | 300 | .. _Deep Learning with Tensorflow - Tensors and Variables: https://www.youtube.com/watch?v=zgV-WzLyrYE 301 | .. _Tensorflow Variables: https://www.youtube.com/watch?v=UYyqNH3r4lk 302 | .. _Save and Restore in TensorFlow: https://www.tensorflow.org/programmers_guide/variable_scope 303 | 304 | -------------------- 305 | TensorFlow Utilities 306 | -------------------- 307 | 308 | .. image:: _img/mainpage/utility.png 309 | 310 | .. .. figure:: _img/mainpage/utility.png 311 | .. :scale: 20 % 312 | .. :alt: map to buried treasure 313 | .. 314 | .. .. raw:: html 315 | .. 316 | ..

317 | .. 318 | .. 319 | .. 320 | ..

321 | 322 | Different utilities empower TensorFlow for faster computation in a more monitored manner. 323 | 324 | 325 | ~~~~~~~~~~ 326 | Supervisor 327 | ~~~~~~~~~~ 328 | 329 | * `Supervisor - Training Helper for Days-Long Trainings`_: The official documentation for TensorFLow Supervisor. 330 | * `Using TensorFlow Supervisor with TensorBoard summary groups`_: Using both TensorBoard and the Supervisor for profit 331 | * `Tensorflow example`_: A TensorFlow example using Supervisor. 332 | 333 | 334 | .. _Supervisor - Training Helper for Days-Long Trainings: https://www.tensorflow.org/programmers_guide/supervisor 335 | .. _Using TensorFlow Supervisor with TensorBoard summary groups: https://dev.widemeadows.de/2017/01/21/using-tensorflows-supervisor-with-tensorboard-summary-groups/ 336 | .. _Tensorflow example: http://codata.colorado.edu/notebooks/tutorials/tensorflow_example_davis_yoshida/ 337 | 338 | ~~~~~~~~~~~~~~~~~~~ 339 | TensorFlow Debugger 340 | ~~~~~~~~~~~~~~~~~~~ 341 | 342 | * `TensorFlow Debugger (tfdbg) Command-Line-Interface Tutorial`_: Official documentation for using debugger for MNIST 343 | * `How to Use TensorFlow Debugger with tf.contrib.learn`_: A more high-level method to use the debugger. 344 | * `Debugging TensorFlow Codes`_: A Practical Guide for Debugging TensorFlow Codes 345 | * `Debug TensorFlow Models with tfdbg`_: A tutorial by Google Developers Blog 346 | 347 | 348 | .. _TensorFlow Debugger (tfdbg) Command-Line-Interface Tutorial: https://www.tensorflow.org/programmers_guide/debugger 349 | .. _How to Use TensorFlow Debugger with tf.contrib.learn: https://www.tensorflow.org/programmers_guide/tfdbg-tflearn 350 | .. _Debugging TensorFlow Codes: https://github.com/wookayin/tensorflow-talk-debugging 351 | .. _Debug TensorFlow Models with tfdbg: https://developers.googleblog.com/2017/02/debug-tensorflow-models-with-tfdbg.html 352 | 353 | ~~~~~~~~~~ 354 | MetaGraphs 355 | ~~~~~~~~~~ 356 | 357 | * `Exporting and Importing a MetaGraph`_: Official TensorFlow documentation 358 | * `Model checkpointing using meta-graphs in TensorFlow`_: A working example 359 | 360 | .. _Exporting and Importing a MetaGraph: https://www.tensorflow.org/programmers_guide/meta_graph 361 | .. _Model checkpointing using meta-graphs in TensorFlow: http://www.seaandsailor.com/tensorflow-checkpointing.html 362 | 363 | ~~~~~~~~~~~ 364 | Tensorboard 365 | ~~~~~~~~~~~ 366 | 367 | * `TensorBoard - Visualizing Learning`_: Official documentation by TensorFlow. 368 | * `TensorFlow Ops`_: Provided by Stanford 369 | * `Visualisation with TensorBoard`_: A tutorial on how to create and visualize a graph using TensorBoard 370 | * `Tensorboard`_: A brief tutorial on Tensorboard 371 | 372 | .. _TensorBoard - Visualizing Learning: https://www.tensorflow.org/get_started/summaries_and_tensorboard 373 | .. _TensorFlow Ops: http://web.stanford.edu/class/cs20si/lectures/notes_02.pdf 374 | .. _Visualisation with TensorBoard: http://learningtensorflow.com/Visualisation/ 375 | .. _Tensorboard: http://edwardlib.org/tutorials/tensorboard 376 | 377 | 378 | * `Hands-on TensorBoard (TensorFlow Dev Summit 2017)`_: An introduction to the amazing things you can do with TensorBoard 379 | * `Tensorboard Explained in 5 Min`_: Providing the code for a simple handwritten character classifier in Python and visualizing it in Tensorboard 380 | * `How to Use Tensorboard`_: Going through a bunch of different features in Tensorboard 381 | 382 | 383 | .. _Hands-on TensorBoard (TensorFlow Dev Summit 2017): https://www.youtube.com/watch?v=eBbEDRsCmv4 384 | .. _Tensorboard Explained in 5 Min: https://www.youtube.com/watch?v=3bownM3L5zM 385 | .. _How to Use Tensorboard: https://www.youtube.com/watch?v=fBVEXKp4DIc 386 | 387 | ==================== 388 | TensorFlow Tutorials 389 | ==================== 390 | 391 | This section is dedicated to provide tutorial resources on the implementation of 392 | different models with TensorFlow. 393 | 394 | ------------------------------ 395 | Linear and Logistic Regression 396 | ------------------------------ 397 | 398 | .. image:: _img/mainpage/logisticregression.png 399 | 400 | 401 | * `TensorFlow Linear Model Tutorial`_: Using TF.Learn API in TensorFlow to solve a binary classification problem 402 | * `Linear Regression in Tensorflow`_: Predicting house prices in Boston area 403 | * `Linear regression with Tensorflow`_: Make use of tensorflow for numeric computation using data flow graphs 404 | * `Logistic Regression in Tensorflow with SMOTE`_: Implementation of Logistic Regression in TensorFlow 405 | * `A TensorFlow Tutorial - Email Classification`_: Using a simple logistic regression classifier 406 | * `Linear Regression using TensorFlow`_: Training a linear model by TensorFlow 407 | * `Logistic Regression using TensorFlow`_: Training a logistic regression by TensorFlow for binary classification 408 | 409 | 410 | .. _TensorFlow Linear Model Tutorial: https://www.tensorflow.org/tutorials/wide 411 | .. _Linear Regression in Tensorflow: https://aqibsaeed.github.io/2016-07-07-TensorflowLR/ 412 | .. _Linear regression with Tensorflow: https://www.linkedin.com/pulse/linear-regression-tensorflow-iv%C3%A1n-corrales-solera 413 | .. _Logistic Regression in Tensorflow with SMOTE: https://aqibsaeed.github.io/2016-08-10-logistic-regression-tf/ 414 | .. _A TensorFlow Tutorial - Email Classification: http://jrmeyer.github.io/tutorial/2016/02/01/TensorFlow-Tutorial.html 415 | .. _Linear Regression using TensorFlow: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/2-basics_in_machine_learning/linear_regression 416 | .. _Logistic Regression using TensorFlow: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/2-basics_in_machine_learning/logistic_regression 417 | 418 | * `Deep Learning with Tensorflow - Logistic Regression`_: A tutorial on Logistic Regression 419 | * `Deep Learning with Tensorflow - Linear Regression with TensorFlow`_: A tutorial on Linear Regression 420 | 421 | .. _Deep Learning with Tensorflow - Logistic Regression: https://www.youtube.com/watch?v=4cBRxZavvTo&t=1s 422 | .. _Deep Learning with Tensorflow - Linear Regression with TensorFlow: https://www.youtube.com/watch?v=zNalsMIB3NE 423 | 424 | 425 | ------------------------------ 426 | Convolutional Neural Networks 427 | ------------------------------ 428 | 429 | .. image:: _img/mainpage/CNNs.png 430 | 431 | 432 | * `Convolutional Neural Networks`_: Official TensorFlow documentation 433 | * `Convolutional Neural Networks using TensorFlow`_: Training a classifier using convolutional neural networks 434 | * `Image classifier using convolutional neural network`_: Building a convolutional neural network based image classifier 435 | * `Convolutional Neural Network CNN with TensorFlow tutorial`_: It covers how to write a basic convolutional neural network within TensorFlow with Python 436 | * `Deep Learning CNNs in Tensorflow with GPUs`_: Designing the architecture of a convolutional neural network (CNN) 437 | 438 | 439 | .. _Convolutional Neural Networks: https://www.tensorflow.org/tutorials/deep_cnn 440 | .. _Convolutional Neural Networks using TensorFlow: https://github.com/astorfi/TensorFlow-World/tree/master/docs/tutorials/3-neural_network/convolutiona_neural_network 441 | .. _Image classifier using convolutional neural network: http://cv-tricks.com/tensorflow-tutorial/training-convolutional-neural-network-for-image-classification/ 442 | .. _Convolutional Neural Network CNN with TensorFlow tutorial: https://pythonprogramming.net/cnn-tensorflow-convolutional-nerual-network-machine-learning-tutorial/ 443 | .. _Deep Learning CNNs in Tensorflow with GPUs: https://hackernoon.com/deep-learning-cnns-in-tensorflow-with-gpus-cba6efe0acc2 444 | 445 | * `Deep Learning with Neural Networks`_: Convolutional Neural Networks with TensorFlow 446 | * `TensorFlow Tutorial`_: Convolutional Neural Network 447 | * `Understanding Convolution with TensorFlow`_: A tutorial on Convolution operation with TensorFlow 448 | * `CNN - Deep Learning with Tensorflow`_: Convolutional Network with TensorFlow 449 | 450 | .. _Deep Learning with Neural Networks: https://www.youtube.com/watch?v=mynJtLhhcXk 451 | .. _TensorFlow Tutorial: https://www.youtube.com/watch?v=HMcx-zY8JSg 452 | .. _Understanding Convolution with TensorFlow: https://www.youtube.com/watch?v=ETdaP_bBNWc 453 | .. _CNN - Deep Learning with Tensorflow: https://www.youtube.com/watch?v=yL-MkBSv18c 454 | 455 | ------------------------- 456 | Recurrent Neural Networks 457 | ------------------------- 458 | 459 | .. image:: _img/mainpage/RNN.png 460 | 461 | 462 | 463 | * `Recurrent Neural Networks`_: TensorFlow official documentation 464 | * `How to build a Recurrent Neural Network in TensorFlow`_: How to build a simple working Recurrent Neural Network in TensorFlow 465 | * `Recurrent Neural Networks in Tensorflow`_: Building a vanilla recurrent neural network (RNN) from the ground up in Tensorflow 466 | * `RNNs in Tensorflow - a Practical Guide and Undocumented Features`_: Going over some of the best practices for working with RNNs in Tensorflow 467 | * `RNN / LSTM cell example in TensorFlow and Python`_: Covering how to code a Recurrent Neural Network model with an LSTM in TensorFlow 468 | * `Sequence prediction using recurrent neural networks(LSTM) with TensorFlow`_: How to approximate a sequence of vectors using a recurrent neural networks 469 | * `TensorFlow RNN Tutorial`_: Recurrent Neural Networks for exploring time series and developing speech recognition capabilities 470 | 471 | .. _Recurrent Neural Networks: https://www.tensorflow.org/tutorials/recurrent 472 | .. _How to build a Recurrent Neural Network in TensorFlow: https://medium.com/@erikhallstrm/hello-world-rnn-83cd7105b767 473 | .. _Recurrent Neural Networks in Tensorflow: https://r2rt.com/recurrent-neural-networks-in-tensorflow-i.html 474 | .. _RNNs in Tensorflow - a Practical Guide and Undocumented Features: http://www.wildml.com/2016/08/rnns-in-tensorflow-a-practical-guide-and-undocumented-features/ 475 | .. _RNN / LSTM cell example in TensorFlow and Python: https://pythonprogramming.net/rnn-tensorflow-python-machine-learning-tutorial/ 476 | .. _Sequence prediction using recurrent neural networks(LSTM) with TensorFlow: http://mourafiq.com/2016/05/15/predicting-sequences-using-rnn-in-tensorflow.html 477 | .. _TensorFlow RNN Tutorial: https://svds.com/tensorflow-rnn-tutorial/ 478 | 479 | 480 | * `Deep Learning with Neural Networks and TensorFlow`_: Recurrent Neural Networks (RNN) 481 | * `An Introduction to LSTMs in Tensorflow`_: A brief tutorial 482 | * `Deep Learning with Tensorflow - The Recurrent Neural Network Model`_: A tutorial on the Recurrent Neural Network Models 483 | * `Sequence Models and the RNN API`_: TensorFlow Dev Summit 2017 484 | * `RNN Example in Tensorflow`_: A quick tutorial 485 | 486 | .. _Deep Learning with Neural Networks and TensorFlow: https://www.youtube.com/watch?v=hWgGJeAvLws 487 | .. _An Introduction to LSTMs in Tensorflow: https://www.youtube.com/watch?v=l4X-kZjl1gs 488 | .. _Deep Learning with Tensorflow - The Recurrent Neural Network Model: https://www.youtube.com/watch?v=C0xoB8L8ms0&t=89s 489 | .. _Sequence Models and the RNN API: https://www.youtube.com/watch?v=RIR_-Xlbp7s 490 | .. _RNN Example in Tensorflow: https://www.youtube.com/watch?v=dFARw8Pm0Gk 491 | 492 | ------------- 493 | Autoencoders 494 | ------------- 495 | 496 | .. image:: _img/mainpage/autoencoder.png 497 | 498 | * `Deep Autoencoder with TensorFlow`_: An open source project 499 | * `Variational Autoencoder in TensorFlow`_: A tutorial on Variational Autoencoder 500 | * `Diving Into TensorFlow With Stacked Autoencoders`_: A nice brief tutorials 501 | * `Convolutional Autoencoders in Tensorflow`_: Implementing a single layer CAE 502 | * `Variational Autoencoder using Tensorflow`_: Facial expression low dimensional embedding 503 | 504 | .. _Deep Autoencoder with TensorFlow: https://github.com/cmgreen210/TensorFlowDeepAutoencoder 505 | .. _Variational Autoencoder in TensorFlow: https://jmetzen.github.io/2015-11-27/vae.html 506 | .. _Diving Into TensorFlow With Stacked Autoencoders: http://cmgreen.io/2016/01/04/tensorflow_deep_autoencoder.html 507 | .. _Convolutional Autoencoders in Tensorflow: https://pgaleone.eu/neural-networks/deep-learning/2016/12/13/convolutional-autoencoders-in-tensorflow/ 508 | .. _Variational Autoencoder using Tensorflow: http://int8.io/variational-autoencoder-in-tensorflow/ 509 | 510 | 511 | * `Deep Learning with Tensorflow - Autoencoder Structure`_: Tutorial on Autoencoder models 512 | * `Deep Learning with Tensorflow - RBMs and Autoencoders`_: Tutorial on Restricted Boltzmann machines and AEs 513 | 514 | .. _Deep Learning with Tensorflow - Autoencoder Structure: https://www.youtube.com/watch?v=H_Bi_PQWJJc 515 | .. _Deep Learning with Tensorflow - RBMs and Autoencoders: https://www.youtube.com/watch?v=FsAvo0E5Pmw 516 | 517 | ----------------- 518 | Generative models 519 | ----------------- 520 | 521 | .. image:: _img/mainpage/generative_model.png 522 | 523 | 524 | 525 | * `Generative Adversarial Nets in TensorFlow`_: Implementing GAN using TensorFlow, with MNIST data 526 | * `Generative Adversarial Networks`_: A working example of Generative Adversarial Networks 527 | 528 | .. _Generative Adversarial Nets in TensorFlow: http://wiseodd.github.io/techblog/2016/09/17/gan-tensorflow/ 529 | .. _Generative Adversarial Networks: http://edwardlib.org/tutorials/gan 530 | 531 | * `TensorFlow Tutorial - Adversarial Examples`_: A tutorial on a working example for generative models 532 | 533 | .. _TensorFlow Tutorial - Adversarial Examples: link 534 | 535 | ------------- 536 | Multiple GPUs 537 | ------------- 538 | 539 | .. image:: _img/mainpage/multiple_gpu.png 540 | 541 | * `Using GPUs`_: Official TensorFlow documentation 542 | * `Deep Learning with Multiple GPUs on Rescale`_: TensorFlow Tutorial 543 | 544 | .. _Using GPUs: https://www.tensorflow.org/tutorials/using_gpu 545 | .. _Deep Learning with Multiple GPUs on Rescale: https://blog.rescale.com/deep-learning-with-multiple-gpus-on-rescale-tensorflow/ 546 | 547 | =================== 548 | TensorFlow Projects 549 | =================== 550 | 551 | This section is dedicated to provide resources that are mainly open source projects developed by TensorFlow. 552 | Those might be comprehensive tutorials on working example. 553 | 554 | ----------------------- 555 | Comprehensive Tutorials 556 | ----------------------- 557 | 558 | .. image:: _img/mainpage/tutorial.png 559 | 560 | * `TensorFlow-World`_: Concise and ready-to-use TensorFlow tutorials with detailed documentation 561 | * `TensorFlow-Tutorials`_: Introduction to deep learning based on Google's TensorFlow framework 562 | * `TensorFlow Tutorials`_: Organized tutorials in TensorFlow 563 | * `TensorFlow-Examples`_: Providing working examples in TensorFlow 564 | * `Tensorflow Tutorials using Jupyter Notebook`_: TensorFlow tutorials written in Python plus Jupyter Notebook 565 | 566 | .. _TensorFlow-World: https://github.com/astorfi/TensorFlow-World 567 | .. _TensorFlow-Tutorials: https://github.com/nlintz/TensorFlow-Tutorials 568 | .. _TensorFlow Tutorials: https://github.com/Hvass-Labs/TensorFlow-Tutorials 569 | .. _TensorFlow-Examples: https://github.com/aymericdamien/TensorFlow-Examples 570 | .. _Tensorflow Tutorials using Jupyter Notebook: https://github.com/sjchoi86/Tensorflow-101 571 | 572 | ------ 573 | Models 574 | ------ 575 | 576 | .. image:: _img/mainpage/models.png 577 | 578 | * `TensorFlow Models`_: Machine learning models implemented in TensorFlow 579 | * `Tensorflow VGG16 and VGG19`_: Implementation of VGG 16 and VGG 19 based on tensorflow-vgg16 and Caffe to Tensorflow 580 | * `ResNet in TensorFlow`_: Implementation of `Deep Residual Learning for Image Recognition `_ 581 | * `Inception in TensorFlow`_: Train the Inception v3 architecture 582 | * `A TensorFlow implementation of DeepMind WaveNet paper`_: TensorFlow implementation of the `WaveNet generative neural network architecture `_ for audio generation 583 | * `3D Convolutional Neural Networks for Speaker Verification`_: Implementation of `3D Convolutional Neural Networks for Speaker Verification application `_ in TensorFlow. 584 | * `Domain Transfer Network (DTN)`_: The implementation of `Unsupervised Cross-Domain Image Generation `_ in TensorFlow 585 | * `Neural Style`_: The Neural Style algorithm implementation that synthesizes a pastiche 586 | * `SqueezeNet in TensorFlow`_: Tensorflow implementation of SqueezeNet 587 | 588 | 589 | .. _TensorFlow Models: https://github.com/tensorflow/models 590 | .. _Tensorflow VGG16 and VGG19: https://github.com/machrisaa/tensorflow-vgg 591 | .. _ResNet in TensorFlow: https://github.com/ry/tensorflow-resnet 592 | .. _Inception in TensorFlow: https://github.com/tensorflow/models/tree/master/inception 593 | .. _A TensorFlow implementation of DeepMind WaveNet paper: https://github.com/ibab/tensorflow-wavenet 594 | .. _3D Convolutional Neural Networks for Speaker Verification: https://github.com/astorfi/3D-convolutional-speaker-recognition 595 | .. _Domain Transfer Network (DTN): https://github.com/yunjey/domain-transfer-network 596 | .. _Neural Style: https://github.com/cysmith/neural-style-tf 597 | .. _SqueezeNet in TensorFlow: https://github.com/vonclites/squeezenet 598 | 599 | 600 | =================== 601 | Published Resources 602 | =================== 603 | 604 | This section is dedicated to provide published resources on TensorFlow, Such as websites, blogs, and books. 605 | 606 | 607 | 608 | --------------------------------- 609 | Online Courses and Documentations 610 | --------------------------------- 611 | 612 | .. image:: _img/mainpage/online.png 613 | 614 | * `LearningTensorFlow`_: Beginner-level tutorials for a TensorFlow 615 | * `Deep Learning by Google`_: A free online course developed by Google and Udacity 616 | * `Tensorflow for Deep Learning Research`_: A comprehensive course by Stanford 617 | * `Creative Applications of Deep Learning with TensorFlow`_: A free online course on TensorFlow from Kadenze 618 | * `Deep Learning with TensorFlow Tutorial`_: In this TensorFlow course, you will be able to learn the basic concepts of TensorFlow 619 | 620 | .. _LearningTensorFlow: https://learningtensorflow.com/ 621 | .. _Deep Learning by Google: https://www.udacity.com/course/deep-learning--ud730 622 | .. _Tensorflow for Deep Learning Research: https://web.stanford.edu/class/cs20si/ 623 | .. _Creative Applications of Deep Learning with TensorFlow: https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow/info 624 | .. _Deep Learning with TensorFlow Tutorial: https://cognitiveclass.ai/courses/deep-learning-tensorflow/ 625 | 626 | 627 | ------ 628 | Books 629 | ------ 630 | 631 | .. image:: _img/mainpage/books.jpg 632 | 633 | * `TensorFlow Machine Learning Cookbook`_: Quick guide to implementing TensorFlow in your day-to-day machine learning activities 634 | * `Deep Learning with TensorFlow`_: Throughout the book, you’ll learn how to implement deep learning algorithms for machine learning systems 635 | * `First contact with TensorFlow`_: An online book on TensorFlow 636 | * `Building Machine Learning Projects with TensorFlow`_: Learn how to implement TensorFlow in production 637 | * `Learning TensorFlow`_: This book is an end-to-end guide to TensorFlow 638 | * `Machine Learning with TensorFlow`_: Tackle common commercial machine learning problems with Google’s TensorFlow library 639 | * `Getting Started with TensorFlow`_: An easy-to-understand book on TensorFlow 640 | * `Hands-On Machine Learning with Scikit-Learn and TensorFlow`_: By using examples, theory, the book help to gain an understanding of the machine learning concepts 641 | * `Machine Learning with TensorFlow (MEAP)`_: An introduction to the concepts of TensorFlow 642 | 643 | .. _TensorFlow Machine Learning Cookbook: https://www.amazon.com/dp/B01HY3TC54/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1 644 | .. _Deep Learning with TensorFlow: https://www.packtpub.com/big-data-and-business-intelligence/deep-learning-tensorflow 645 | .. _First contact with TensorFlow: http://jorditorres.org/first-contact-with-tensorflow/ 646 | .. _Building Machine Learning Projects with TensorFlow: https://www.amazon.com/dp/B01M2Z8FS4/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1 647 | .. _Learning TensorFlow: http://shop.oreilly.com/product/0636920063698.do 648 | .. _Machine Learning with TensorFlow: https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-tensorflow 649 | .. _Getting Started with TensorFlow: https://www.amazon.com/Getting-Started-TensorFlow-Giancarlo-Zaccone-ebook/dp/B01H1JD6JO 650 | .. _Hands-On Machine Learning with Scikit-Learn and TensorFlow: http://shop.oreilly.com/product/0636920052289.do 651 | .. _Machine Learning with TensorFlow (MEAP): https://www.manning.com/books/machine-learning-with-tensorflow 652 | 653 | 654 | ============ 655 | Contributing 656 | ============ 657 | 658 | *For typos, please do not create a pull request. Instead, declare them in issues or email the repository owner*. Please note we have a code of conduct, please follow it in all your interactions with the project. 659 | 660 | -------------------- 661 | Pull Request Process 662 | -------------------- 663 | 664 | Please consider the following criterions in order to help us in a better way: 665 | 666 | 1. The pull request is mainly expected to be a link suggestion. 667 | 2. Please make sure your suggested resources are not obsolete or broken. 668 | 3. Ensure any install or build dependencies are removed before the end of the layer when doing a 669 | build and creating a pull request. 670 | 4. Add comments with details of changes to the interface, this includes new environment 671 | variables, exposed ports, useful file locations and container parameters. 672 | 5. You may merge the Pull Request in once you have the sign-off of at least one other developer, or if you 673 | do not have permission to do that, you may request the owner to merge it for you if you believe all checks are passed. 674 | 675 | ---------- 676 | Final Note 677 | ---------- 678 | 679 | We are looking forward to your kind feedback. Please help us to improve this open source project and make our work better. 680 | For contribution, please create a pull request and we will investigate it promptly. Once again, we appreciate 681 | your kind feedback and support. 682 | 683 | 684 | 685 | .. | 686 | .. .. raw:: html 687 | 688 |
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