
Chapter 1: Introduction Chapter 2: Spin Glass Models and Cavity Method Chapter 3: Variational Mean-Field Theory and Belief Propagation Chapter 4: Monte-Carlo Simulation Methods Chapter 5: High-Temperature Expansion Techniques Chapter 6: Nishimori...

This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques,...