Statistical Mechanics of Neural Networks

Statistical Mechanics of Neural Networks

Huang, Haiping

Springer Verlag, Singapore

01/2023

296

Mole

Inglês

9789811675720

15 a 20 dias

486

Descrição não disponível.
Introduction.- Spin glass models and cavity method.- Variational mean-?eld theory and belief propagation.- Monte Carlo simulation methods.- High-temperature expansion.- Nishimori line.- Random energy model.- Statistical mechanical theory of Hop?eld model.- Replica symmetry and replica symmetry breaking.- Statistical mechanics of restricted Boltzmann machine.- Simplest model of unsupervised learning with binary synapses.- Inherent-symmetry breaking in unsupervised learning.- Mean-?eld theory of Ising Perceptron.- Mean-?eld model of multi-layered Perceptron.- Mean-?eld theory of dimension reduction.- Chaos theory of random recurrent neural networks.- Statistical mechanics of random matrices.- Perspectives.
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Unsupervised Learning;Mean-field Theory;Cavity Method;Replica Method;Hopfield Model;Restricted Boltzmann Machine;Random Matrices