Shypd.aiThe largest open index of AI toolsdeep-learning-with-python-notebooks provides Jupyter notebooks for the code samples from the book "Deep Learning with Python". It offers runnable code examples for hands-on learning and practical application of deep learning techniques.
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deep-learning-with-python-notebooks is a GitHub repository containing Jupyter notebooks that implement the code samples from the book "Deep Learning with Python" by Francois Chollet and Matthew Watson. It includes notebooks for the third edition (2025), as well as legacy notebooks for the second (2021) and first (2017) editions. These notebooks focus on runnable code blocks and section titles, omitting text paragraphs, figures, and pseudocode, making them ideal for side-by-side use with the book. Users can run the code on Colab, which provides a hosted runtime with all necessary dependencies, or locally by setting up a Jupyter environment. The code for the third edition uses Keras 3 and supports JAX, TensorFlow, or PyTorch as backends. The repository also provides instructions for using Kaggle data and setting up Kaggle API keys as Colab secrets.
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