BackPropagation
https://www.dropbox.com/s/niyk91puw6wyznx/Backpropagation.pdf?dl=0
https://www.dropbox.com/s/j5w8h25hi89kbe1/C__Users_renyuan_Dropbox_ryBpnn.pdf?dl=0
https://www.dropbox.com/s/9z51fzx8cq202ay/lec3.pdf?dl=0
https://www.dropbox.com/s/7j17wzn7q0bwj6w/ryBpnn.py?dl=0
note from MIT
12. Learning: Neural Nets, Back Propagation
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/readings/MIT6_034F10_netmath.pdf
Starting from:
The sigmoid function
y = 1/(1 + e−x)
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