15 begins contact with machine learning (more precisely, deep learning code, CNN)
Need to see a lot of information to get started;
Collected here, to see for themselves, but also to the passing of interested crossing judgment, for recreation
Go directly to the link:
1,http://speakerdeck.com/baojie/recent-advances-in-deep-learning-by-kevin-duh
2,http://speakerdeck.com/baojie/deep-learning-an-introduction-from-the-nlp-perspective-by-kevin-duh
3,http://lamda.nju.edu.cn/weixs/project/cnntricks/cnntricks.html (about CNN's implementation, write well, can also be more careful, regardless of the more recommended to see the code)
4,https://www.reddit.com/r/machinelearning/comments/3y4zai/ama_nando_de_freitas/ama Reddit link, need precision;
Well: https://www.reddit.com/r/MachineLearning/This is a mail group, join it, Sao year
5,how-microsoft-beat-google-at-understanding-images-with-machine-learning/articleshow/50354135.cms Review this year's imagenet contest, browse;
6, several dry goods:
1) http://www.nature.com/news/computer-science-the-learning-machines-1.14481
2) http://ufldl.stanford.edu/tutorial/
3) Http://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks
7, one of the two items that individuals like:
1) http://gitxiv.com/posts/LgPRdTY3cwPBiMKbm/deep-residual-learning-for-image-recognition
Machine Learning Introductory Information compilation