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.ipynb_checkpoints
.ipynb_checkpoints
 
 
__pycache__
__pycache__
 
 
data
data
 
 
model
model
 
 
10. Modern RNN.ipynb
10. Modern RNN.ipynb
 
 
11. Attention.ipynb
11. Attention.ipynb
 
 
13. Computational Performance.ipynb
13. Computational Performance.ipynb
 
 
2. Preliminaries.ipynb
2. Preliminaries.ipynb
 
 
3. Linear Neural Networks for Regression.ipynb
3. Linear Neural Networks for Regression.ipynb
 
 
4. Linear Neural Networks for Classification.ipynb
4. Linear Neural Networks for Classification.ipynb
 
 
5. Multilayer Perceptions.ipynb
5. Multilayer Perceptions.ipynb
 
 
6. Builders' Guide.ipynb
6. Builders' Guide.ipynb
 
 
7. CNN.ipynb
7. CNN.ipynb
 
 
8. Modern Convolutional Neural Networks.ipynb
8. Modern Convolutional Neural Networks.ipynb
 
 
9. RNN.ipynb
9. RNN.ipynb
 
 
README.md
README.md
 
 
models.py
models.py
 
 
my_mlp
my_mlp
 
 
utils.py
utils.py
 
 
utils_torch.py
utils_torch.py
 
 

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D2l Study Note (Deep Learning Models Implementation)

This repo stores my study note and code implementation following online course https://d2l.ai/

Whenever github access token is changed, run git remote set-url origin https://nancyyanyu:<access token>@github.com/nancyyanyu/dive_into_deeplearning.git

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Study note of d2l course - implement DL models from scratch

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