Deep Learning资源整理
来源:互联网 发布:Tensorflow 商用 编辑:程序博客网 时间:2024/05/28 03:01
教程:
http://neuralnetworksanddeeplearning.com – Python-netowrk, network2, network3,从浅层神经网络到深度学习
http://deeplearning.stanford.edu/wiki/index.PHP/UFLDL_Tutorial –Andrew ng
http://cs231n.github.io/convolutional-networks/ –Fe-iFei Li
http://colah.github.io/ — colah
http://hangtwenty.github.io/dive-into-machine-learning/ –
http://www.thetalkingmachines.com/
http://vision.princeton.edu/courses/COS598/2015sp/ *
http://vision.stanford.edu/teaching/cs231n/slides/ *
http://bjsc.github.io/SuperLR-Page/
http://bjsc.github.io/SuperLR-Page/pages/ 66天写的逻辑回归
https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
http://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html 概率图模型
书籍:
http://www.deeplearningbook.org/
视频:
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=DeepLearning
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=MachineLearning
http://videolectures.net/jul09_hinton_deeplearn/
https://classroom.udacity.com/courses/ud730/lessons/6370362152/concepts/63798118150923
论文:
http://deeplearning.net/
http://arxiv.org/
caffe相关
http://ethereon.github.io/netscope/quickstart.html
http://caffe.berkeleyvision.org/
博客:
http://colah.github.io/
http://www.jianshu.com/p/9dc9f41f0b29
2d-convolution: https://grzegorzgwardys.wordpress.com/2016/04/22/8/#unique-identifier
1.the first time I heard the term (hidden layer) I thought it must have some deep philosophical or mathematical significance - but it really means nothing more than “not an input or an output”.
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