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https://github.com/nbajpai-code/deeplearning#the-fastai-book
fastaihttps://docs.fast.ai/
PyTorchhttps://pytorch.org/
the fastai paperhttps://www.mdpi.com/2078-2489/11/2/108
read online herehttps://fastai.github.io/fastbook2e/
a MOOChttps://course.fast.ai
this bookhttps://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527
https://github.com/nbajpai-code/deeplearning#colab
Google Colabhttps://research.google.com/colaboratory/
Introduction to Jupyterhttps://colab.research.google.com/github/fastai/fastbook/blob/master/app_jupyter.ipynb
Chapter 1, Introhttps://colab.research.google.com/github/fastai/fastbook/blob/master/01_intro.ipynb
Chapter 2, Productionhttps://colab.research.google.com/github/fastai/fastbook/blob/master/02_production.ipynb
Chapter 3, Ethicshttps://colab.research.google.com/github/fastai/fastbook/blob/master/03_ethics.ipynb
Chapter 4, MNIST Basicshttps://colab.research.google.com/github/fastai/fastbook/blob/master/04_mnist_basics.ipynb
Chapter 5, Pet Breedshttps://colab.research.google.com/github/fastai/fastbook/blob/master/05_pet_breeds.ipynb
Chapter 6, Multi-Categoryhttps://colab.research.google.com/github/fastai/fastbook/blob/master/06_multicat.ipynb
Chapter 7, Sizing and TTAhttps://colab.research.google.com/github/fastai/fastbook/blob/master/07_sizing_and_tta.ipynb
Chapter 8, Collabhttps://colab.research.google.com/github/fastai/fastbook/blob/master/08_collab.ipynb
Chapter 9, Tabularhttps://colab.research.google.com/github/fastai/fastbook/blob/master/09_tabular.ipynb
Chapter 10, NLPhttps://colab.research.google.com/github/fastai/fastbook/blob/master/10_nlp.ipynb
Chapter 11, Mid-Level APIhttps://colab.research.google.com/github/fastai/fastbook/blob/master/11_midlevel_data.ipynb
Chapter 12, NLP Deep-Divehttps://colab.research.google.com/github/fastai/fastbook/blob/master/12_nlp_dive.ipynb
Chapter 13, Convolutionshttps://colab.research.google.com/github/fastai/fastbook/blob/master/13_convolutions.ipynb
Chapter 14, Resnethttps://colab.research.google.com/github/fastai/fastbook/blob/master/14_resnet.ipynb
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Chapter 19, Learnerhttps://colab.research.google.com/github/fastai/fastbook/blob/master/19_learner.ipynb
Chapter 20, conclusionhttps://colab.research.google.com/github/fastai/fastbook/blob/master/20_conclusion.ipynb
https://github.com/nbajpai-code/deeplearning#contributions
https://github.com/nbajpai-code/deeplearning#citations
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Jupyter Notebook 99.9% https://github.com/nbajpai-code/deeplearning/search?l=jupyter-notebook
Python 0.1% https://github.com/nbajpai-code/deeplearning/search?l=python
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