{"repository":{"description":"Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.","homepage":"","watchers":4,"stargazers":4,"forks":3,"fork":true,"size":524,"owner":"skaae","private":false,"open_issues":1,"has_issues":false,"has_downloads":true,"has_wiki":false,"language":"Matlab","created_at":"2013-03-06T13:33:27-08:00","pushed_at":"2013-05-22T13:35:28-07:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Hyuta Tanaka","company":"Japan","location":"Tokyo","email":"da39a3ee5e6b4b0d3255bfef95601890afd80709"},"url":"https://github.com/skaae/DeepLearnToolbox"}