finelybook
Statistical Mechanics of Neural Networks
Author: Haiping Huang
Publisher Finelybook 出版社: ; 1st ed. 2021 edition (January 5,2022)
Language 语言: English
pages 页数: 314 pages
ISBN-10 书号: 9811675694
ISBN-13 书号: 9789811675690
Book Description
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,the Nishimori condition,variational methods,the dynamical mean-field theory,unsupervised learning,associative memory models,perceptron models,the chaos theory of recurrent neural networks,and eigen-spectrums of neural networks,walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated Author: physics of mathematical beauty and theoretical predictions. It is a good reference for students,researchers,and practitioners in the area of neural networks.
