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Understanding Deep Learning explains the essential concepts, algorithms, and techniques used by modern AI systems. Simon Prince introduces the basics of neural networks, backpropagation, and advanced architectures with extraordinary thoroughness; it is rare that an author can describe every subject in such detail yet effortlessly make complex-sounding subjects simple. What distinguishes this book is the number of examples, diagrams, and case studies it provides about theory connecting to reality.

This Understanding Deep Learning book (9780262048644) is designed for different kinds of readers: from those who need a concise explanation of the basics to those seeking in-depth explanations of the latest inventions. Chapters include hands on exercises and references to allow readers to put what they have learned into practice. What sets Understanding Deep Learning by Simon Prince apart is the balance between academic rigor and practical insights. It provides readers with deep insight into how deep learning models are trained, optimized and deployed in industry for healthcare, finance and autonomous systems.

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