{"repository":{"description":"The program in this repository creates a 3 layer neural network with 1 hidden layer to find to find out a non linear function that best fits the input data. In this program, i implemented Error Back Propagation Algorithm to train the neural network and used Gradient descent to find out local minimum of the function. Then, i used 5 fold cross validation to find out average fitness of a model.","watchers":0,"stargazers":0,"forks":0,"fork":false,"size":356,"owner":"harry1357931","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Java","created_at":"2013-07-06T20:13:23-07:00","pushed_at":"2013-07-06T20:19:52-07:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Gurpreet Singh","blog":"http://gurpreetsinghny.com/","location":"New York","email":"fa9907ae057a158a564b0c2a5c581d96a13c4048@gmail.com"},"url":"https://github.com/harry1357931/NeuralNetwork-ErrorBackPropagation/compare/efb06fad2c...cbe789fd50"}