{"action":"created","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/371","repository_url":"https://api.github.com/repos/fchollet/keras","labels_url":"https://api.github.com/repos/fchollet/keras/issues/371/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/371/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/371/events","html_url":"https://github.com/fchollet/keras/pull/371","id":94038602,"number":371,"title":"New Example: Stacked Autoencoder","user":{"login":"mthrok","id":855818,"avatar_url":"https://avatars.githubusercontent.com/u/855818?v=3","gravatar_id":"","url":"https://api.github.com/users/mthrok","html_url":"https://github.com/mthrok","followers_url":"https://api.github.com/users/mthrok/followers","following_url":"https://api.github.com/users/mthrok/following{/other_user}","gists_url":"https://api.github.com/users/mthrok/gists{/gist_id}","starred_url":"https://api.github.com/users/mthrok/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mthrok/subscriptions","organizations_url":"https://api.github.com/users/mthrok/orgs","repos_url":"https://api.github.com/users/mthrok/repos","events_url":"https://api.github.com/users/mthrok/events{/privacy}","received_events_url":"https://api.github.com/users/mthrok/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":6,"created_at":"2015-07-09T12:41:13Z","updated_at":"2016-03-23T23:52:48Z","closed_at":"2015-07-10T13:13:56Z","pull_request":{"url":"https://api.github.com/repos/fchollet/keras/pulls/371","html_url":"https://github.com/fchollet/keras/pull/371","diff_url":"https://github.com/fchollet/keras/pull/371.diff","patch_url":"https://github.com/fchollet/keras/pull/371.patch"},"body":"Demonstration of Autoencoder module and reuse of trained encoders."},"comment":{"url":"https://api.github.com/repos/fchollet/keras/issues/comments/200586634","html_url":"https://github.com/fchollet/keras/pull/371#issuecomment-200586634","issue_url":"https://api.github.com/repos/fchollet/keras/issues/371","id":200586634,"user":{"login":"hanlianlu","id":7419836,"avatar_url":"https://avatars.githubusercontent.com/u/7419836?v=3","gravatar_id":"","url":"https://api.github.com/users/hanlianlu","html_url":"https://github.com/hanlianlu","followers_url":"https://api.github.com/users/hanlianlu/followers","following_url":"https://api.github.com/users/hanlianlu/following{/other_user}","gists_url":"https://api.github.com/users/hanlianlu/gists{/gist_id}","starred_url":"https://api.github.com/users/hanlianlu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hanlianlu/subscriptions","organizations_url":"https://api.github.com/users/hanlianlu/orgs","repos_url":"https://api.github.com/users/hanlianlu/repos","events_url":"https://api.github.com/users/hanlianlu/events{/privacy}","received_events_url":"https://api.github.com/users/hanlianlu/received_events","type":"User","site_admin":false},"created_at":"2016-03-23T23:52:48Z","updated_at":"2016-03-23T23:52:48Z","body":"@fchollet  What if the most part of data I have is unlabelled,  is Pre-training in this situation with Autoencoder quite beneficial ?"}}