深度学习资料
1、网站
（1）斯坦福CS231n—深度学习与计算机视觉
http://cs231n.github.io/classification/
此部分网易云课堂有视频
（2）深度学习与自然语言处理
CS224d: Deep Learning for Natural Language Processing
http://cs224d.stanford.edu/
2、The CIFAR-10 dataset AND CIFAR-100 dataset
website:https://www.cs.toronto.edu/~kriz/cifar.html
(1)The CIFAR-10 dataset The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images
(2)The CIFAR-100 dataset This dataset is just like the CIFAR-10, except it has 100 classes containing 600 images each. There are 500 training images and 100 testing images per class. The 100 classes in the CIFAR-100 are grouped into 20 superclasses. Each image comes with a "fine" label (the class to which it belongs) and a "coarse" label (the superclass to which it belongs).
