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This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal

A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear alge

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Shine a spotlight into the deep learning “black box”. This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res