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## Basic knowledge The basics  * Linear algebra: https://www.khanacademy.org/math/linear-algebra   This is a prerequisite for machine learning.  
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* Deep learning with rich material: http://deeplearning.net/tutorial/contents.html   This website also teaches the deep learning but with a different programing language `python` for implementation. This place also contains rich details of deep learning structure and relevant theories.  ### Others  * Stanford course - CS224d: http://cs224d.stanford.edu/  * Stanford course - CS229: http://cs229.stanford.edu/  * Stanford course - CS231n: http://cs231n.stanford.edu/  * VGG model application: http://www.robots.ox.ac.uk/~vgg/practicals/cnn/index.html