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Statistical Field Theory for Neural Networks
Language: en
Pages: 203
Authors: Moritz Helias
Categories: Science
Type: BOOK - Published: 2020-08-20 - Publisher: Springer Nature

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This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These power
Statistical Mechanics of Neural Networks
Language: en
Pages: 0
Authors: Haiping Huang
Categories:
Type: BOOK - Published: 2021 - Publisher:

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This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses
Statistical Mechanics of Neural Networks
Language: en
Pages: 302
Authors: Haiping Huang
Categories: Science
Type: BOOK - Published: 2022-01-04 - Publisher: Springer Nature

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This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses
Neural Network Modeling
Language: en
Pages: 259
Authors: P. S. Neelakanta
Categories: Technology & Engineering
Type: BOOK - Published: 2018-02-06 - Publisher: CRC Press

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Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings
The Principles of Deep Learning Theory
Language: en
Pages: 473
Authors: Daniel A. Roberts
Categories: Computers
Type: BOOK - Published: 2022-05-26 - Publisher: Cambridge University Press

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This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
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