this is used to note something text recognition matril http://francescopochetti.com/text-recognition-natural-scenes/ http://www.robots.ox.ac.uk/~vgg/research/text/ http://jeffdonahue.com/lrcn/
https://bitbucket.org/jaderberg/eccv2014_textspotting
#math matrial http://stanford.edu/class/ee364a/ http://ee263.stanford.edu/lectures.html
RNN: http://www.csdn.net/article/2015-01-28/2823747
cnn_visual https://github.com/guruucsd/CNN_visualization https://github.com/smajida/Deep_Inside_Convolutional_Networks
http://research.milanton.de/#publicationsion
http://gitxiv.com/posts/XfyFioDSPShmNgv7W/end-to-end-people-detection-in-crowded-scenes
http://gitxiv.com/ http://cs.stanford.edu/people/karpathy/
cnn visual
http://cs231n.github.io/understanding-cnn/
deep learning meaterial http://news.startup.ml
caffe code understanding: https://www.quora.com/How-do-we-read-the-source-code-of-Caffe
machine learning reference: http://suanfazu.com/t/topic/15 http://ml.memect.com/
computer vison turial http://zhangliliang.com/
data set: human:
http://www.researchgate.net/post/What_are_some_datasets_for_indoor_outdoor_image_classification2
http://homepages.inf.ed.ac.uk/rbf/CAVIARDATA1/ http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/ http://blog.csdn.net/kezunhai/article/details/38318805 http://liangzheng.com.cn/
https://www.cs.utexas.edu/~chaoyeh/web_action_data/dataset_list.html
https://www.cs.utexas.edu/~chaoyeh/web_action_data/dataset_list.html http://www.cvpapers.com/datasets.html
https://www.cs.utexas.edu/~chaoyeh/web_action_data/dataset_list.html