With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern m

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

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures

Interest in machine learning is exploding worldwide, both in research and for industrial applications. Machine learning is fast becoming a fundamental part of e

A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.