# Deep Learning with Python, Third Edition

Source: https://listme.name/books/deep-learning-with-python
Website: https://www.manning.com/books/deep-learning-with-python-third-edition

Hands-on Python deep learning guide covering Keras 3, PyTorch and JAX

Deep Learning with Python, Third Edition, is written by François Chollet and Matthew Watson. Manning published it in September 2025, with 648 pages, and it teaches deep learning and generative AI with Keras 3, PyTorch and JAX. Manning sells print, PDF and ePub editions.

The book moves from the core ideas of neural networks to training models in Keras, then to computer vision, text and generative models. The third edition adds generative AI and the Keras 3 API, which runs on TensorFlow, JAX and PyTorch. Chollet created Keras, and the book is organized as a working guide for Python developers.

The publisher lists the source code on GitHub and sells the book in print, as an eBook in PDF and ePub, and in an online format. It suits developers who want to build and train models in Python. It is lighter on theory than the Goodfellow text, so readers who need the mathematics should pair it with a formal text.

- Paid | PDF/EPUB/Print
- Price: Print and eBook sold by Manning; no free full text
- Checked: 2026-10-10

## Strengths

- Hands-on Python code with Keras 3
- Covers generative AI in the third edition
- Current, published September 2025

## Limits

- Paid, with no free full text
- Light on the mathematics behind the models

## Rankings

- #5 of 10 in [best AI and machine learning books](https://listme.name/best/ai-and-machine-learning-books), score 88.5: The strongest paid pick for writing deep learning code in Python, with Keras 3 and generative AI in the third edition. It has no free text and less theory than the free books above.

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