Deep Learning Tutorial from Stanford: http://ufldl.stanford.edu/tutorial/

Self-driving cars: https://www.youtube.com/watch?v=1L0TKZQcUtA

Machine Learning Tiep Huu Vu:  https://www.facebook.com/machinelearningbasicvn/

Mr Xuân Hồng: https://ongxuanhong.wordpress.com/

http://khanhxnguyen.com/tutorials/machine-learning-co-ban/

How to use Git: http://rogerdudler.github.io/git-guide/

Compare Matlab and Python: http://www.pyzo.org/python_vs_matlab.html

Matplotlib to create the graph: http://matplotlib.org/ 

NumPy for MATLAB users: http://mathesaurus.sourceforge.net/matlab-numpy.html

Matrix calculus: https://ccrma.stanford.edu/~dattorro/matrixcalc.pdf

IPython Interactive Computing: http://ipython.org/

CS231n Convolutional Neural Networks for Visual Recognition: http://cs231n.github.io/

CS20SI Tensorflow for Deep Learning Research: (HuyenChip)  https://web.stanford.edu/class/cs20si/

Open source TensorFlow: https://www.tensorflow.org/

Pattern Recognition and Machine Learning | Christopher Bishop

Machine learning Java Script: https://github.com/josephmisiti/awesome-machine-learning#javascript

Convex Optimization – Boy and Vandenberghe: https://stanford.edu/~boyd/cvxbook/

Algorithm visualizer: http://algo-visualizer.jasonpark.me/#path=graph_search/dijkstra/shortest_path

Toán cao cấp: https://sites.google.com/site/toancaocap01/tai-lieu

Matrix Analysis by Roger A.Horn

 

 

Advertisements