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Awesome lists & learningfchollet
deep-learning-with-python-notebooks
Code notebooks for François Chollet's Deep Learning with Python (third edition, on Keras 3). Runs on JAX, TensorFlow or PyTorch. Legacy notebooks for the two earlier editions are included.
Who it is for
For people who want to learn deep learning from the author of Keras by running the code.
How to start
- Open the notebook for your chapter in Google Colab: the free GPU is enough for the whole book.
- Set the backend in the first cell:
os.environ["KERAS_BACKEND"] = "jax"(ortensorflow,torch). - For chapters using Kaggle data, create an account and add
KAGGLE_USERNAMEandKAGGLE_KEYto Colab secrets.
Steps are taken from the README. Check the current version in the repository before running them.
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+57Sep 6 — Oct 4
Author's description
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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