Statistical Mechanics of Neural Networks 2025 pdf epub mobi 电子书

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Statistical Mechanics of Neural Networks 2025 pdf epub mobi 电子书著者简介

Dr. Haiping Huang received his Ph.D. degree in theoretical physics from the Institute of Theoretical Physics, the Chinese Academy of Sciences. He works as an associate professor at the School of Physics, Sun Yat-sen University, China. His research interests include the origin of the computational hardness of the binary perceptron model, the theory of dimension reduction in deep neural networks, and inherent symmetry breaking in unsupervised learning. In 2021, he was awarded Excellent Young Scientists Fund by National Natural Science Foundation of China.

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发表于2025-01-11

Statistical Mechanics of Neural Networks 2025 pdf epub mobi 电子书

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出版者:

作者:Haiping Huang

出品人:

页数:302

译者:

出版时间:2021

价格:EUR 129.99

装帧:Hardcover

isbn号码:9789811675690

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Statistical Mechanics of Neural Networks 2025 pdf epub mobi 电子书图书描述

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 by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks.

Statistical Mechanics of Neural Networks 2025 pdf epub mobi 电子书

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