Backpropagation in Convolutional Neural Network
Unsupervised Feature Learning and Deep Learning Tutorial(UFLDL)
Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
YOLO詳解: http://www.itdadao.com/articles/c15a476242p0.html
經典CNN Model
LeNet-5:Gradient-based learning applied to document recognition
AlexNet:Imagenet classification with deep convolutional neural networks
GoogLeNet: Going Deeper with Convolutions
VGG-16: Very Deep Convolutional Networks for Large-Scale Image Recognition
CNN for Object Detection
RCNN:Rich feature hierarchies for accurate object detection and semantic segmentation
Fast RCNN: Fast R-CNN
YOLO: You Only Look Once Unified Real-Time Object Detection
SPP-Net: Spatial Pyramid Pooling in Deep ConvolutionalNetworks for Visual Recognition
CRAFT: CRAFT Objects from Images
Caffe Wiki: https://github.com/BVLC/caffe/wiki/Development
新增Layer: http://city.shaform.com/blog/2016/02/26/caffe.html
https://github.com/BVLC/caffe/wiki/Simple-Example:-Sin-Layer