Deep Learning with Python 3rd Ed (Manning)
Wednesday, 19 November 2025

This book teaches deep learning from first principles, with hands-on, code-first examples in Python using Keras 3, plus coverage of TensorFlow, PyTorch, and JAX. The book is designed for readers with intermediate Python skills (no prior ML or deep learning experience required). François Chollet and Matthew Watson offer clear explanations, intuitive visuals, and enough depth to help both beginners and experienced practitioners level up. The third edition includes topics such as generative AI, transformers, diffusion models, large language models, image and text generation, and modern best practices.

<ASIN:1633436586 >

 

Author: François Chollet and Matthew Watson
Publisher: Manning
Date: November 2025
Pages: 648
ISBN: 978-1633436589
Print: 1633436586
Kindle: B0FRSV54C6
Audience: Python developers
Level: Intermediate/Advanced
Category: Python and Artificial Intelligence

Topics include:

  • Hands-on, code-first learning
  • Comprehensive, from basics to generative AI
  • Intuitive and easy math explanations
  • Examples in Keras, PyTorch, JAX, and TensorFlow

François Chollet is the co-founder of Ndea and the creator of Keras. Matthew Watson is a software engineer at Google working on Gemini and a core maintainer of Keras.

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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