Derivation: Error Backpropagation & Gradient Descent for Neural Networks
The material in this post has been migraged with python implementations to my github pages website.
Posted on September 6, 2014, in Algorithms, Classification, Derivations, Gradient Descent, Machine Learning, Neural Networks, Optimization, Regression, Theory and tagged backprop derivation, backpropagation algorithm, backpropagation derivation, Derivation, Machine Learning, Neural Networks. Bookmark the permalink. 18 Comments.