Deep Learning with Python, 3E (Final) by François Chollet (.PDF)

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File Size: 40.2 MB

Deep Learning with Python, Third Edition (Final Release) by François Chollet, Matthew Watson
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Overview: The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python, Third Edition puts the power of Deep Learning in your hands. This new edition includes the latest Keras and TensorFlow features, Generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of Deep Learning with Python. This book was written for anyone who wishes to explore Deep Learning from scratch or broaden their understanding of Deep Learning. After reading this book, you’ll have a solid understanding of what Deep Learning is, when it’s applicable, and what its limitations are. You’ll be familiar with the standard workflow for approaching and solving Machine Learning problems, and you’ll know how to address commonly encountered issues. Deep Learning with Python, Third Edition makes the concepts behind Deep Learning and generative AI understandable and approachable. This complete rewrite of the bestselling original includes fresh chapters on transformers, building your own GPT-like LLM, and generating images with diffusion models. Each chapter introduces practical projects and code examples that build your understanding of Deep Learning, layer by layer. For readers with intermediate Python skills. No previous experience with Machine Learning or linear algebra required.
Genre: Non-Fiction > Tech & Devices

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