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10.1 Combined with the architecture of GAN, please explain the working principle.
10.2 What is the final expected output of the GAN game?
10.3 Please list at least four the improved generative adversarial networks.
返回《Artificial Neural Networks Theory and Its Applications》慕课在线视频列表
-1.1 Structure and function of biological neurons
-1.2 Electrical activity of the nervous system
-1.3 Information storage of human brain
-Test for Chapter 1
-2.1 Development history of artificial neural network
-2.2 Characteristics and Applications of artificial neural network
-Test for Chapter 2
-Test for Chapter 3
-4.1 Architecture and Principle of Perceptron
-Test for Chapter 4
-5.1 BP Neural Network Architecture
-Test for Chapter 5
-6.1 RBF Architecture and Principle
-Test for Chapter 6
-7.2 Algorithm principle of Adaline and Multilayer Adaline
-Test for Chapter 7
-8.1 Discrete Hopfield Neural Network
-8.2 Continues Hopfield Neural Network
-Test for Chapter 8
-9.1 Architecture and principle of deep convolution neural network
-9.2 Several DCNN architectures
-9.3 Several Deep learning frameworks
-Test for Chapter 9
-Test for Chapter 10
-11.1 Architecture and principle of Elman
-11.2 Algorithm and Stability of Elman
-Test for Chapter 11
-Test for Chapter 12
-13.2 Principle and algorithm of SOFM neural network
-Test for Chapter 13
-Final exam for 《 Artificial Neural Networks Theory and Its Applications》