Wei Zhu's DL Station | 又一个入坑的DL researcher
[转载]【研究动态】机器学习五步走

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[转载]【研究动态】机器学习五步走

经常会有人问“我该如何在机器学习方面更进一步,我不知道我接下来要学什么了。” 一般我都会给出继续钻研教科书的答案。 每当这时候我都会收到一种大惑不解的表情。但是...
[转载]特征值、特征向量和PCA的概念及理解

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[转载]特征值、特征向量和PCA的概念及理解

特征值分解和主成份分析 §协方差矩阵 协方差(Covariance)用于衡量两个变量的总体误差。设两个随机变量X和Y的期望值分别为E(X)和E(Y),则其协方差定义为: ...
[转载]浅谈协方差矩阵的概念及意义

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[转载]浅谈协方差矩阵的概念及意义

基于数学基础太差,学习神经网络需要大量的数学知识,而我总是纠结于概率论、矩阵、线性代数等相关知识,只能一点一点积累了。 ...
Coursera: Neural Networks for Machine Learning- Lecture 14

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Coursera: Neural Networks for Machine Learning- Lecture 14

DBN(信息量较大)

Coursera: Neural Networks for Machine Learning- Lecture 13

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Coursera: Neural Networks for Machine Learning- Lecture 13

Belief Nets & wake-sleep algorithm

Coursera: Neural Networks for Machine Learning- Lecture 12

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Coursera: Neural Networks for Machine Learning- Lecture 12

2012_An efficient learning procedure for deep Boltzmann Machine ICML2008_Training restricted Boltzmann machines using approximations to the likelihood gradient(PCD) ...
Coursera: Neural Networks for Machine Learning- Lecture 11

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Coursera: Neural Networks for Machine Learning- Lecture 11

Energy-based Models

Coursera: Neural Networks for Machine Learning- Lecture 10

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Coursera: Neural Networks for Machine Learning- Lecture 10

Ways to improve generalization

Coursera: Neural Networks for Machine Learning- Lecture 9

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Coursera: Neural Networks for Machine Learning- Lecture 9

Ways to improve generalization

Coursera: Neural Networks for Machine Learning- Lecture 8

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Coursera: Neural Networks for Machine Learning- Lecture 8

Hessian Free Optimization(optional)