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Dive into Deep Learning

An interactive deep learning book with code, math, and discussions Provides NumPy/MXNet, PyTorch, and TensorFlow implementations

Google Colab: https://d2l.ai/chapter_appendix-tools-for-deep-learning/colab.html

Amazon sage maker: https://d2l.ai/chapter_appendix-tools-for-deep-learning/sagemaker.html

Run Locally on Jupyter Notebook: https://d2l.ai/chapter_installation/index.html

Personally I loved this book,because each section has an executable Jupyter notebook, where you can modify the code and tune hyperparameters to get instant feedback to accumulate practical experiences in deep learning.



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Dive into Deep Learning

An interactive deep learning book with code, math, and discussions Provides NumPy/MXNet, PyTorch, and TensorFlow implementations

Google Colab: https://d2l.ai/chapter_appendix-tools-for-deep-learning/colab.html

Amazon sage maker: https://d2l.ai/chapter_appendix-tools-for-deep-learning/sagemaker.html

Run Locally on Jupyter Notebook: https://d2l.ai/chapter_installation/index.html

Personally I loved this book,because each section has an executable Jupyter notebook, where you can modify the code and tune hyperparameters to get instant feedback to accumulate practical experiences in deep learning.

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