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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 Field Theory for Neural Networks
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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 Learning
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Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another
Machine Learning with Neural Networks
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This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to d
Neural Networks
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Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the