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Can I read Statistical Mechanics of Neural Networks on EtoBox?
Statistical Mechanics of Neural Networks by Haiping Huang is a nonfiction available to read on EtoBox.
What is Statistical Mechanics of Neural Networks about?
Main subject categories: • Neural networks • Statistical mechanics • Monte Carlo methodsThis 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.
Who reads Statistical Mechanics of Neural Networks?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Haiping Huang
- Publisher
- Springer, Springer Nature Singapore Pte Ltd.
- Published
- 2022
- Language
- EN
- ISBN
- 9789811675690
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Computer Science
Other editions & translations
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