Notes on fastai Book Ch. 6
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fastai
notes
pytorch
Chapter 6 covers multi-label classification and image regression.
Notes on fastai Book Ch. 8
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fastai
notes
pytorch
Chapter 8 provides a deep dive into collaborative filtering.
Notes on fastai Book Ch. 09
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fastai
notes
pytorch
Chapter 9 provides a deep dive into tabular modeling.
Notes on fastai Book Ch. 11
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fastai
notes
pytorch
Chapter 11 covers data munging with fast.ai’s mid-level data API.
Notes on fastai Book Ch. 12
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fastai
notes
pytorch
Chapter 12 covers building and training an LSTM from scratch.
Notes on fastai Book Ch. 13
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fastai
notes
pytorch
Chapter 13 provides a deep dive into convolutional neural networks.
Notes on fastai Book Ch. 14
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fastai
notes
pytorch
Chapter 14 covers building a ResNet from scratch.
Notes on fastai Book Ch. 17
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fastai
notes
pytorch
Chapter 17 covers building a neural network from the foundations.
Notes on fastai Book Ch. 19
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fastai
notes
pytorch
Chapter 19 covers creating a fast.ai Learner from scratch.
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