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d2l-ai
d2l-pytorch-sagemaker
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Automatically Generated Notebook for Sagemaker
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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
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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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