PuGong

Bookworm, Programmer

Neural Networks | ML

20 Feb 2016

Machine Learning Notes

Neural Networks: Representation

if there are too many features, the linear regression will be two large to be calculated. For example: suppose 100*100 pixel images (grayscale, not RGB), for term(XiXj) the features will be up to (5 * 10^7)

Cost function

  • unregularized logistic regression logistic regression(unregularized)

where

h(theta) formula

g(z)

  • regularized logistic regression regularized logistic regression

where

Theta(j)

  • neural network neural network cost function

Neural Networks: Learning

Backprogagation Algorithm

backpropagation algorithm

Reference:

Course Home in Coursera

Course Homepage in Stanford

Course Materials