├── figures ├── mlp.jpg ├── .DS_Store ├── cnn1.png ├── cnn2.png ├── cnn3.png ├── cnn4.png ├── cnn5.png ├── cnn6.png ├── conv.png ├── puppy.jpg ├── vgg16.png ├── MaxPool.png ├── backprop.png ├── sigmoid.png ├── Perceptron.jpg ├── dl_overview.png ├── linear_sep.png ├── model_optim.png ├── speakerdeck.png ├── ConvNet_LeNet.png ├── bkwd_step_net.png ├── fwd_step_net.png ├── grad_minimum.png ├── perc_adaline.png ├── convnets_cover.png ├── learning_process.png ├── artificial_neuron.png ├── logistic_function.png ├── nn-3-layer-network.png ├── perceptron_binary.png └── perceptron_scheme.png ├── environment.yml ├── README.md ├── .gitignore ├── LICENSE └── index.ipynb /figures/mlp.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/leriomaggio/deep-learning-class/main/figures/mlp.jpg -------------------------------------------------------------------------------- /figures/.DS_Store: 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-------------------------------------------------------------------------------- /figures/perceptron_binary.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/leriomaggio/deep-learning-class/main/figures/perceptron_binary.png -------------------------------------------------------------------------------- /figures/perceptron_scheme.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/leriomaggio/deep-learning-class/main/figures/perceptron_scheme.png -------------------------------------------------------------------------------- /environment.yml: -------------------------------------------------------------------------------- 1 | name: lectures 2 | channels: 3 | - pytorch 4 | - defaults 5 | dependencies: 6 | - ipykernel=6.19.2 7 | - ipython=8.10.0 8 | - jupyter=1.0.0 9 | - jupyterlab=3.5.3 10 | - matplotlib=3.7.1 11 | - networkx=2.8.4 12 | - notebook=6.5.2 13 | - numpy=1.23.5 14 | - pandas=1.5.3 15 | - pillow=9.4.0 16 | - pip=23.0.1 17 | - python=3.10.9 18 | - pytorch=2.0.0 19 | - scikit-learn=1.2.1 20 | - scipy=1.10.0 21 | - torchvision=0.15.0 22 | - pip: 23 | - mpmath==1.2.1 24 | - notexbook-theme==2.0.1 25 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Deep Learning Class: Introduction to ANN and Deep Learning 2 | 3 | Lecture materials for the Deep Learning lecture presented at MSc in Medical Statistics and Health Data Science, University of Bristol 4 | 5 | Intro slides on [deck](https://speakerdeck.com/leriomaggio/intro-to-deep-learning-class) 6 | 7 | 8 | ## Lecture notes and Practical 9 | 10 | ### (Recommended) MyBinder (no installation required) 11 | 12 | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/leriomaggio/deep-learning-class/HEAD) 13 | 14 | ### Running Jupyter notebook on your local computer: 15 | 16 | Step 1. Install Anaconda Distribution [link](https://www.anaconda.com/products/distribution) 17 | 18 | Step 2. Set up the environment using `conda`: 19 | 20 | ```bash 21 | conda env create -f environment.yml 22 | conda activate lectures 23 | ``` 24 | 25 | Step 3. Run `jupyter notebook`: 26 | 27 | ```bash 28 | jupyter notebook index.ipynb 29 | ``` 30 | 31 | 32 | -------------------------------------------------------------------------------- /.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 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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\n", 3080 | " The notebook is using\n", 3081 | " \n", 3082 | " no$\\TeX$book Jupyter Theme (release 2.0.1).\n", 3083 | "\n", 3084 | "
" 3085 | ], 3086 | "text/plain": [ 3087 | "" 3088 | ] 3089 | }, 3090 | "execution_count": 2, 3091 | "metadata": {}, 3092 | "output_type": "execute_result" 3093 | } 3094 | ], 3095 | "source": [ 3096 | "%texify -fs 18" 3097 | ] 3098 | }, 3099 | { 3100 | "cell_type": "markdown", 3101 | "id": "f31ab981-5697-42d5-976a-ab54cd070517", 3102 | "metadata": {}, 3103 | "source": [ 3104 | "## Deep Learning Class" 3105 | ] 3106 | }, 3107 | { 3108 | "cell_type": "markdown", 3109 | "id": "8c78aa41-7584-466e-b40d-5f1282ea6b7b", 3110 | "metadata": {}, 3111 | "source": [ 3112 | "#### Table of Content" 3113 | ] 3114 | }, 3115 | { 3116 | "cell_type": "markdown", 3117 | "id": "9389b49a-660e-4846-97d8-e7b6f6d6208a", 3118 | "metadata": {}, 3119 | "source": [ 3120 | "- [ANN from the ground up](./ann_from_the_ground_up.ipynb)\n", 3121 | "- [Convolution and CNN](./convolution_and_cnn.ipynb)\n", 3122 | "- (Extra)[PyTorch Intro](./extra_pytorch_nn.ipynb)\\\n", 3123 | "\n", 3124 | "[Practical](./practical.ipynb)" 3125 | ] 3126 | } 3127 | ], 3128 | "metadata": { 3129 | "kernelspec": { 3130 | "display_name": "Python 3 (ipykernel)", 3131 | "language": "python", 3132 | "name": "python3" 3133 | }, 3134 | "language_info": { 3135 | "codemirror_mode": { 3136 | "name": "ipython", 3137 | "version": 3 3138 | }, 3139 | "file_extension": ".py", 3140 | "mimetype": "text/x-python", 3141 | "name": "python", 3142 | "nbconvert_exporter": "python", 3143 | "pygments_lexer": "ipython3", 3144 | "version": "3.10.9" 3145 | } 3146 | }, 3147 | "nbformat": 4, 3148 | "nbformat_minor": 5 3149 | } 3150 | --------------------------------------------------------------------------------