This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses

This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These power

Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another

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

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