- 高等教育出版社
- 9787040584851
- 1版
- 47267119-7
- 16开
- 400
- 工学
- 计算机类
- 计算机类
- 本科 研究生及以上
目录
目录
前辅文
1 Introduction
2 Spin Glass Models and Cavity Method
3 Variational Mean-Field Theory and Belief Propagation
4 Variational Mean-Field Theory and Belief Propagation
5 High-Temperature Expansion
6 Nishimori Line
7 Random Energy Model
8 Statistical Mechanical Theory of Hopfield Model
9 Replica Symmetry and Replica Symmetry Breaking
10 Statistical Mechanics of Restricted Boltzmann Machine
11 Simplest Model of Unsupervised Learning with Binary Synapses
12 Inherent-Symmetry Breaking in Unsupervised Learning
13 Mean-Field Theory of Ising Perceptron
14 Mean-Field Model of Multi-layered Perceptron
15 Mean-Field Theory of Dimension Reduction
16 Chaos Theory of Random Recurrent Neural Networks
17 Statistical Mechanics of Random Matrices
18 Perspectives
前辅文
1 Introduction
2 Spin Glass Models and Cavity Method
3 Variational Mean-Field Theory and Belief Propagation
4 Variational Mean-Field Theory and Belief Propagation
5 High-Temperature Expansion
6 Nishimori Line
7 Random Energy Model
8 Statistical Mechanical Theory of Hopfield Model
9 Replica Symmetry and Replica Symmetry Breaking
10 Statistical Mechanics of Restricted Boltzmann Machine
11 Simplest Model of Unsupervised Learning with Binary Synapses
12 Inherent-Symmetry Breaking in Unsupervised Learning
13 Mean-Field Theory of Ising Perceptron
14 Mean-Field Model of Multi-layered Perceptron
15 Mean-Field Theory of Dimension Reduction
16 Chaos Theory of Random Recurrent Neural Networks
17 Statistical Mechanics of Random Matrices
18 Perspectives
前辅文
1 Introduction
2 Spin Glass Models and Cavity Method
3 Variational Mean-Field Theory and Belief Propagation
4 Variational Mean-Field Theory and Belief Propagation
5 High-Temperature Expansion
6 Nishimori Line
7 Random Energy Model
8 Statistical Mechanical Theory of Hopfield Model
9 Replica Symmetry and Replica Symmetry Breaking
10 Statistical Mechanics of Restricted Boltzmann Machine
11 Simplest Model of Unsupervised Learning with Binary Synapses
12 Inherent-Symmetry Breaking in Unsupervised Learning
13 Mean-Field Theory of Ising Perceptron
14 Mean-Field Model of Multi-layered Perceptron
15 Mean-Field Theory of Dimension Reduction
16 Chaos Theory of Random Recurrent Neural Networks
17 Statistical Mechanics of Random Matrices
18 Perspectives
前辅文
1 Introduction
2 Spin Glass Models and Cavity Method
3 Variational Mean-Field Theory and Belief Propagation
4 Variational Mean-Field Theory and Belief Propagation
5 High-Temperature Expansion
6 Nishimori Line
7 Random Energy Model
8 Statistical Mechanical Theory of Hopfield Model
9 Replica Symmetry and Replica Symmetry Breaking
10 Statistical Mechanics of Restricted Boltzmann Machine
11 Simplest Model of Unsupervised Learning with Binary Synapses
12 Inherent-Symmetry Breaking in Unsupervised Learning
13 Mean-Field Theory of Ising Perceptron
14 Mean-Field Model of Multi-layered Perceptron
15 Mean-Field Theory of Dimension Reduction
16 Chaos Theory of Random Recurrent Neural Networks
17 Statistical Mechanics of Random Matrices
18 Perspectives
