{"action":"created","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/2183","repository_url":"https://api.github.com/repos/fchollet/keras","labels_url":"https://api.github.com/repos/fchollet/keras/issues/2183/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/2183/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/2183/events","html_url":"https://github.com/fchollet/keras/pull/2183","id":145660726,"number":2183,"title":"LSTM with Batch Normalization","user":{"login":"udibr","id":608789,"avatar_url":"https://avatars.githubusercontent.com/u/608789?v=3","gravatar_id":"","url":"https://api.github.com/users/udibr","html_url":"https://github.com/udibr","followers_url":"https://api.github.com/users/udibr/followers","following_url":"https://api.github.com/users/udibr/following{/other_user}","gists_url":"https://api.github.com/users/udibr/gists{/gist_id}","starred_url":"https://api.github.com/users/udibr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/udibr/subscriptions","organizations_url":"https://api.github.com/users/udibr/orgs","repos_url":"https://api.github.com/users/udibr/repos","events_url":"https://api.github.com/users/udibr/events{/privacy}","received_events_url":"https://api.github.com/users/udibr/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":17,"created_at":"2016-04-04T11:44:16Z","updated_at":"2016-05-06T18:35:56Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/fchollet/keras/pulls/2183","html_url":"https://github.com/fchollet/keras/pull/2183","diff_url":"https://github.com/fchollet/keras/pull/2183.diff","patch_url":"https://github.com/fchollet/keras/pull/2183.patch"},"body":"Simplified LSTM with Batch Normalization from the paper [Recurrent Batch Normalization](http://arxiv.org/abs/1603.09025).\r\nThe main simplification is that the same gamma is used on all steps.\r\n\r\nThis PR is for Keras-0. I will merge to Keras-1 once its out of preview"},"comment":{"url":"https://api.github.com/repos/fchollet/keras/issues/comments/217524248","html_url":"https://github.com/fchollet/keras/pull/2183#issuecomment-217524248","issue_url":"https://api.github.com/repos/fchollet/keras/issues/2183","id":217524248,"user":{"login":"xingdi-eric-yuan","id":4028684,"avatar_url":"https://avatars.githubusercontent.com/u/4028684?v=3","gravatar_id":"","url":"https://api.github.com/users/xingdi-eric-yuan","html_url":"https://github.com/xingdi-eric-yuan","followers_url":"https://api.github.com/users/xingdi-eric-yuan/followers","following_url":"https://api.github.com/users/xingdi-eric-yuan/following{/other_user}","gists_url":"https://api.github.com/users/xingdi-eric-yuan/gists{/gist_id}","starred_url":"https://api.github.com/users/xingdi-eric-yuan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/xingdi-eric-yuan/subscriptions","organizations_url":"https://api.github.com/users/xingdi-eric-yuan/orgs","repos_url":"https://api.github.com/users/xingdi-eric-yuan/repos","events_url":"https://api.github.com/users/xingdi-eric-yuan/events{/privacy}","received_events_url":"https://api.github.com/users/xingdi-eric-yuan/received_events","type":"User","site_admin":false},"created_at":"2016-05-06T18:35:56Z","updated_at":"2016-05-06T18:35:56Z","body":"@udibr I'll try to port your code into keras 1, if you haven't yet."}}