├── .gitignore ├── LICENSE └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 Ignito 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Complete-Tensorflow-and-Keras-with-Projects-Series 2 | This repository contains everything you need to become proficient in Tensorflow and Keras 3 | 4 | ![keras-tensorflow-logo](https://user-images.githubusercontent.com/104568275/210071638-f23fa07e-a71f-481f-8b37-28f2efb9cf9c.jpeg) 5 | 6 | 7 | Youtube for all the implemented projects and tech interview resources - [Ignito Youtube Channel](https://www.youtube.com/@ignito5917/about) 8 | 9 | Start here - [30 days of Tensorflow and Keras with Projects Series 10 | ](https://medium.com/coders-mojo/30-days-of-tensorflow-and-keras-with-projects-series-f52e0815d696?sk=945bb73c32bc967b7e056f894fab7626) 11 | 12 | --- 13 | 14 | # TensorFlow Basics 15 | 16 | [What is TensorFlow?](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 17 | 18 | [How it Works?](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 19 | 20 | [How to Download & Install TensorFLow](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 21 | 22 | [Jupyter Notebook Tutorial](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 23 | 24 | [TensorFlow Basics](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 25 | 26 | [TensorBoard Tutorial](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 27 | 28 | [Python Pandas Tutorial](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 29 | 30 | [Import CSV Data](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 31 | 32 | # Linear Regression with TensorFlow 33 | 34 | [Binary Classification in TensorFlow](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 35 | 36 | [Gaussian Kernel](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 37 | 38 | # TensorFlow Perceptron 39 | 40 | [Single Layer Perceptron](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 41 | 42 | [Hidden Layer Perceptron](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 43 | 44 | [Multi-layer Perceptron](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 45 | 46 | # ANN in TensorFlow 47 | 48 | [What is Artificial Neural Network](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 49 | 50 | [Implementation of Neural Network](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 51 | 52 | [Classification of Neural Network](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 53 | 54 | # CNN in TensorFlow 55 | 56 | [CNN Introduction](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 57 | 58 | [Working of CNN](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 59 | 60 | [CNN project](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 61 | 62 | # RNN in TensorFlow 63 | 64 | [RNN Introduction](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 65 | 66 | [Working of RNN](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 67 | 68 | [RNN Time Series](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 69 | 70 | [LSTM RNN in Tensorflow](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 71 | 72 | [Training of RNN](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 73 | 74 | [Types of RNN](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 75 | 76 | # Autoencoders 77 | 78 | [TensorFlow Autoencoder](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 79 | 80 | # Style Transferring 81 | 82 | [Style Transferring in TensorFlow](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 83 | 84 | [Gram Matrix in Style Transferring](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 85 | 86 | [Style Transferring Working](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 87 | 88 | # TensorFlow Debugging 89 | 90 | [TensorFlow Debugging](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 91 | 92 | # Keras Basics 93 | 94 | [What is Keras?](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 95 | 96 | [Installation of Keras](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 97 | 98 | [Keras Backends](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 99 | 100 | [Keras Models](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 101 | 102 | [Keras layers](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 103 | 104 | # Keras Models and Layers 105 | 106 | [Keras Model class](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 107 | 108 | [Keras Sequential class](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 109 | 110 | [Keras Core Layers](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 111 | 112 | [Recurrent Layers](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 113 | 114 | [Embedding Layers](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 115 | 116 | [Keras Merge Layers](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 117 | 118 | [Convolutional Layer](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 119 | 120 | [Pooling Layers](https://medium.com/coders-mojo/implemented-tensorflow-and-keras-projects-adbaed77d572?sk=dab9d9584be3eb7a63125b871515e0e4) 121 | 122 | # Tensorflow and Keras Projects (40) 123 | 124 | [Tensorflow and Keras projects repo](https://medium.com/coders-mojo/30-days-of-tensorflow-and-keras-with-projects-series-f52e0815d696?sk=945bb73c32bc967b7e056f894fab7626) 125 | 126 | --- 127 | --------------------------------------------------------------------------------