深度学习好的链接

RNN网络
http://karpathy.github.io/2015/05/21/rnn-effectiveness/

速查表DenseNet_121
https://github.com/kailashahirwar/cheatsheets-ai

机器学习
https://www.zybuluo.com/vivounicorn/note/446479

blog
http://machinelearningmastery.com/blog/

LSTM
https://github.com/fchollet/keras/issues/5067

keras tips:
http://blog.csdn.net/niuwei22007/article/details/49045909

GPU:
http://www.cnblogs.com/darkknightzh/p/6591923.html
http://blog.csdn.net/qq_30159351/article/details/52892577

caffe:
http://blog.csdn.net/liyaohhh/article/details/50932430
http://www.voidcn.com/blog/thesby/article/p-5788925.html
http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/00-classification.ipynb
cifar-10 to image data:
http://blog.csdn.net/guohuifengby/article/details/62424299
https://github.com/guohuifengby/pythonConvertCifar-10
http://blog.csdn.net/lynnandwei/article/details/44222389
http://www.cnblogs.com/denny402/p/5111018.html

http://blog.csdn.net/zb1165048017/article/details/51355143

docker安装:
http://blog.csdn.net/zistxym/article/details/42918339

各种经典网络结构:
http://blog.csdn.net/xbinworld/article/details/45619685

LeNet:
https://github.com/BVLC/caffe/blob/master/examples/mnist/lenet_train_test.prototxt

AlexNet:
https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet

VGG:
https://gist.github.com/ksimonyan/211839e770f7b538e2d8#file-readme-md

googlenet:
https://github.com/BVLC/caffe/blob/master/models/bvlc_googlenet/train_val.prototxt

resnet:
https://github.com/KaimingHe/deep-residual-networks/blob/master/prototxt/ResNet-50-deploy.prototxt

caffe:
https://chrischoy.github.io/research/making-caffe-layer/
https://buptldy.github.io/2016/10/09/2016-10-09-Caffe_Code/