This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm

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

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to d

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to addres

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