Deep Learning with Python, Third Edition by François Chollet and Matthew Watson – Paperback (ISBN: 9781633436589)

By François Chollet and Matthew Watson

Deep Learning with Python, Third Edition by François Chollet and Matthew Watson is a practical machine learning and artificial intelligence textbook for learning modern deep learning through Python. Published by Manning, this expanded edition covers deep learning fundamentals, Keras 3, TensorFlow, PyTorch, JAX, computer vision, time series forecasting, large language models, text classification, machine translation, generative AI, GPT-style models, diffusion models, model tuning, and scalable AI workflows.

Designed for computer science programs, data science departments, AI and machine learning courses, software engineering teams, corporate training programs, research libraries, universities, bootcamps, and institutional procurement teams, this book supports hands-on deep learning education for students, developers, data scientists, engineers, and technical professionals building production-oriented AI skills.

What This Book Does

This book teaches readers how to understand and build deep learning models using Python and modern AI frameworks. It explains neural networks from first principles, then moves into applied projects involving image classification, image segmentation, time series forecasting, natural language processing, transformers, large language models, text generation, image generation, model training, evaluation, optimization, and practical deployment-oriented workflows.

Key Features

• Updated third edition covering Keras 3, TensorFlow, PyTorch, and JAX
• Written by Keras creator François Chollet with Matthew Watson
• Hands-on Python approach to neural networks, deep learning, and generative AI
• Covers computer vision, time series, NLP, transformers, LLMs, GPT-style models, and diffusion models
• Supports practical learning through code examples, projects, and model-building workflows
• Strong fit for AI courses, computer science programs, data science training, and institutional textbook purchasing

Who Should Use This Book?

• Computer science, data science, and artificial intelligence students
• Developers learning deep learning with Python
• Machine learning engineers and data scientists
• Faculty teaching AI, neural networks, deep learning, and generative AI
• Corporate training teams and software engineering departments
• Universities, bootcamps, research libraries, and technical training programs
• Institutions purchasing AI, Python, and machine learning textbooks in bulk

Why It’s Essential

• Provides a practical, code-first path into modern deep learning and generative AI
• Connects neural network fundamentals with real-world Python model development
• Reflects current AI tooling across Keras, TensorFlow, PyTorch, and JAX
• Strong fit for AI education, developer training, data science programs, and institutional technical libraries

A practical deep learning textbook for Python developers, AI students, data scientists, machine learning engineers, and generative AI training programs.
Order today from BooksGoat for reliable academic supply and institutional bulk purchasing.

Product Details

• ISBN-13: 9781633436589
• ISBN-10: 1633436586
• Edition: Third
• Authors: François Chollet and Matthew Watson
• Publisher: Manning
• Format: Paperback
• Pages: 648
• Publication Date: September 2025
• Condition: New
• Price: $59.99
• Minimum Order: 5 Copies
• Availability: In Stock

TOC Highlights

• Deep Learning from First Principles
• Neural Networks and Tensor Operations
• Keras 3, TensorFlow, PyTorch, and JAX
• Computer Vision and Image Classification
• Image Segmentation and Feature Learning
• Time Series Forecasting
• Text Classification and Machine Translation
• Transformers and Large Language Models
• Building GPT-Style Text Generation Models
• Diffusion Models and Image Generation
• Scaling, Tuning, and Improving Deep Learning Models

FAQs

• Is this the Third Edition of Deep Learning with Python?
  Yes. This listing is for Deep Learning with Python, Third Edition by François Chollet and Matthew Watson.
• Does this edition cover generative AI?
  Yes. The third edition includes coverage of transformers, large language models, GPT-style text generation, and diffusion-based image generation.
• Which frameworks are covered?
  The book covers Keras 3 and also includes discussion of TensorFlow, PyTorch, and JAX.
• Who should use this book?
  It is suitable for AI students, Python developers, data scientists, machine learning engineers, computer science programs, bootcamps, and corporate AI training teams.
• Is this suitable for institutional and bulk orders?
  Yes. BooksGoat supports bulk purchasing for universities, computer science departments, data science programs, AI training providers, software teams, corporate learning departments, and technical libraries.