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chapter_appendix-mathematics-for-deep-learning
chapter_appendix-mathematics-for-deep-learning
 
 
chapter_appendix-tools-for-deep-learning
chapter_appendix-tools-for-deep-learning
 
 
chapter_attention-mechanisms-and-transformers
chapter_attention-mechanisms-and-transformers
 
 
chapter_builders-guide
chapter_builders-guide
 
 
chapter_computational-performance
chapter_computational-performance
 
 
chapter_computer-vision
chapter_computer-vision
 
 
chapter_convolutional-modern
chapter_convolutional-modern
 
 
chapter_convolutional-neural-networks
chapter_convolutional-neural-networks
 
 
chapter_gaussian-processes
chapter_gaussian-processes
 
 
chapter_generative-adversarial-networks
chapter_generative-adversarial-networks
 
 
chapter_hyperparameter-optimization
chapter_hyperparameter-optimization
 
 
chapter_installation
chapter_installation
 
 
chapter_introduction
chapter_introduction
 
 
chapter_linear-classification
chapter_linear-classification
 
 
chapter_linear-regression
chapter_linear-regression
 
 
chapter_multilayer-perceptrons
chapter_multilayer-perceptrons
 
 
chapter_natural-language-processing-applications
chapter_natural-language-processing-applications
 
 
chapter_natural-language-processing-pretraining
chapter_natural-language-processing-pretraining
 
 
chapter_notation
chapter_notation
 
 
chapter_optimization
chapter_optimization
 
 
chapter_preface
chapter_preface
 
 
chapter_preliminaries
chapter_preliminaries
 
 
chapter_recommender-systems
chapter_recommender-systems
 
 
chapter_recurrent-modern
chapter_recurrent-modern
 
 
chapter_recurrent-neural-networks
chapter_recurrent-neural-networks
 
 
chapter_references
chapter_references
 
 
chapter_reinforcement-learning
chapter_reinforcement-learning
 
 
d2l
d2l
 
 
img
img
 
 
static/latex_style
static/latex_style
 
 
README.md
README.md
 
 
d2l.bib
d2l.bib
 
 
index.ipynb
index.ipynb
 
 
setup.py
setup.py
 
 

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d2l-pytorch-sagemaker

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