CS229 6.16 Neurons Networks linear decoders and its implements - 代码天地

CS229 6.16 Neurons Networks linear decoders and its implements

其他 2018-11-27 05:31:20 阅读次数: 0

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转载自www.cnblogs.com/alan-blog-TsingHua/p/10024070.html

CS229 6.16 Neurons Networks linear decoders and its implements

CS229 6.8 Neurons Networks implements of PCA ZCA and whitening

CS229 6.5 Neurons Networks Implements of Sparse Autoencoder

CS229 6.10 Neurons Networks implements of softmax regression

CS229 6.13 Neurons Networks Implements of stack autoencoder

CS229 6.11 Neurons Networks implements of self-taught learning

CS229 6.7 Neurons Networks whitening

CS229 6.15 Neurons Networks Deep Belief Networks

CS229 6.17 Neurons Networks convolutional neural network（cnn）

CS229 6.3 Neurons Networks Gradient Checking

CS229 6.2 Neurons Networks Backpropagation Algorithm

CS229 6.4 Neurons Networks Autoencoders and Sparsity

CS229 6.14 Neurons Networks Restricted Boltzmann Machines

CS229 6.9 Neurons Networks softmax regression

CS229 6.6 Neurons Networks PCA主成分分析

CS229 6.12 Neurons Networks from self-taught learning to deep network

【Andrew NG 机器学习公开课】CS229：Introduction、Linear Regression

CS229机器学习个人笔记（2）——Linear Regression with Multiple Variables

CS229机器学习个人笔记（1）——Linear Regression with One Variable

(六) 6.1 Neurons Networks Representation

6.16

Networks with Linear Activation Function

Ordered Neurons: Integrating Tree Structures Into Recurrent Neural Networks

EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks

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