Dettaglio del documento
Statistical mechanics of neural networks
Abstract
This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks.
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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 (Fonte: Editore)
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Biblioteca
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Università Pavia. Biblioteca delle Scienze
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Prenotazione documento
Documento in prestito. Rientro previsto 01/10/2026 , escluso dal prestito interbibliotecario
Collocazione
LEARNING SPACE 006.32 HUASTA 2021
Note
1 v. ; DIDATTICA AA corrente