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

More complex computing approaches have grown in popularity as technology has improved and big data has emerged. Increasing customer demand for better goods, as

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

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.