Shypd.aiThe largest open index of AI toolsFundamentals-of-Deep-Learning-Book is a code companion to the O'Reilly "Fundamentals of Deep Learning" book. It provides PyTorch implementations of algorithms discussed in the second edition, primarily through Google Colab notebooks.
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Fundamentals-of-Deep-Learning-Book serves as the official code companion for the O'Reilly "Fundamentals of Deep Learning, Second Edition" book. This GitHub repository offers practical, PyTorch-based implementations of all algorithms presented in the book, making it an invaluable resource for those looking to apply deep learning concepts. The code is primarily provided as Google Colab notebooks, allowing users to run examples directly from the repository without extensive setup. Additionally, some examples include .py files for more convenient execution. It also archives code from the first edition, ensuring comprehensive coverage for different versions of the book. This resource is ideal for students and practitioners aiming to deepen their understanding of deep learning through hands-on coding.
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