Deep Learning with Python, Second Edition is the definitive guide to understanding and building modern AI systems. Written by François Chollet, the creator of the Keras deep-learning library and a Google AI researcher, this book offers a clear, intuitive path into the world of neural networks. By focusing on practical code and high-level concepts rather than dense mathematical theory, Chollet enables readers to build powerful AI models for everything from image recognition to natural language processing using Python. About the Book This Second Edition has been completely overhauled to reflect the latest advancements in the field, including the transition to TensorFlow 2 and the emergence of Transformer architectures. Deep Learning with Python starts with the absolute basics of tensors and gradient descent before moving into advanced topics like generative models and self-supervised learning. Chollet’s unique writing style simplifies complex topics through vivid analogies and hands-on examples, making this Manning publication the "gold standard" for anyone serious about mastering Keras. What You’ll Learn / Why Read Deep Learning with Python teaches you how to design and train neural networks that can see, hear, and understand. You will learn how to leverage pre-trained models for transfer learning, optimize model performance using hyperparameter tuning, and deploy your creations into production. Furthermore, the book provides deep insights into the "philosophy" of AI, helping you understand the limitations of current models and the future of the technology. This is an essential read for developers, data scientists, and students who want to build state-of-the-art AI applications with the most user-friendly tools available. Author Bio François Chollet is a software engineer at Google and the creator of Keras, one of the world's most widely used deep-learning frameworks. He is a leading voice in the AI community, known for his work in computer vision and his contributions to the development of autonomous intelligence. Product Details Author: François Chollet Publisher: Manning Publications Language: English Format: Paperback ISBN-13: 978-1617296864 Genre: Computers / Artificial Intelligence / Programming Pages: 500+ Pages Why Buy from Nybookshub Deep Learning practitioners choose Nybookshub because we provide 100% authentic, high-quality editions from Manning Publications. In technical learning, the clarity of code blocks and the resolution of architectural diagrams are paramount; we ensure you receive a verified printing that is as durable as it is informative. Our global shipping network ensures that François Chollet’s essential wisdom reaches developers from London to Tokyo without delay. At Nybookshub, we empower the global tech community by providing the elite resources needed to engineer the future. Questions & Answers Do I need a PhD in math to read this? No, Chollet focuses on intuitive explanations and code-first learning, though a basic understanding of Python is required. Does Nybookshub ship this edition internationally? Yes, we offer fast, tracked global delivery to ensure you can stay ahead of the AI curve anywhere in the world. Does it cover Transformers and GPT-style models? Yes, the Second Edition includes updated sections on Transformer architectures and modern NLP techniques. Is this book better for TensorFlow or PyTorch? This book is specifically written for the TensorFlow/Keras ecosystem, though the principles apply to all deep learning frameworks. Are the code examples available online? Yes, the book provides access to a comprehensive GitHub repository with all the Jupyter notebooks used in the text.
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