Part 2 (2019)


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Important - new URL for part 2

Part 2 of the 2019 course is now here: https://course19.fast.ai/part2 This course requires fastai v1. To stop fastai from updating to v2, run in your terminal: echo 'fastai 1.*' >> $CONDA_PREFIX/conda-meta/pinned

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Fun matrix math example: the Transformer's attention mechanism
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Part 2 00_exports.ipynb does not run on !python notebook2script.py xxx.ipynb
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Purpose of ReindexCollection call in LMDataloader
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Docker Image of Fastai + Jupyter: CUDA10, py3.7
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Conditional Variational Autoencoder (VAE)
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Issue in training Language Model using multi GPUs
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When to use and NOT to use mixup for images?
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[SOLVED] How to download large datasets even when you have datalimit is 1.5GB/day?
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Understanding gradient calculation
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Why are we able to do something like `learn.fit_one_cycle()`
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Why do we need to pass callback function instead of callbacks to `Runner`'s constructor? (Lesson 9)
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Callback discussion from lesson 9
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TypeError: parameters() missing 1 required positional argument: 'self'
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How to convert a PIL Image to a fastai Image object?
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NameError: name 'CallbackHandler' is not defined
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What's the difference between` a -= b` and `a = a-b`?
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How to get prediction using get_preds in fastai 2?
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How to create custom pytorch class
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Catastrophic Forgetting and multiple models
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Colab starter kit for swift for tensorflow (swift4tf)
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Lesson 8 (2019) discussion & wiki
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How to actually learn from these videos?
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Part 2 using Paperspace
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Adding additional learnable parameters to optimizers in Callbacks
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TfmsManager: Tune Your Transforms
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Learning GeneralRelu Params: Here is LearnedRelu
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