{"action":"closed","issue":{"url":"https://api.github.com/repos/auroraxie/Kaggle-NDSB/issues/2","labels_url":"https://api.github.com/repos/auroraxie/Kaggle-NDSB/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/auroraxie/Kaggle-NDSB/issues/2/comments","events_url":"https://api.github.com/repos/auroraxie/Kaggle-NDSB/issues/2/events","html_url":"https://github.com/auroraxie/Kaggle-NDSB/issues/2","id":69761521,"number":2,"title":"batch_norm layer","user":{"login":"zhongwen","id":409579,"avatar_url":"https://avatars.githubusercontent.com/u/409579?v=3","gravatar_id":"","url":"https://api.github.com/users/zhongwen","html_url":"https://github.com/zhongwen","followers_url":"https://api.github.com/users/zhongwen/followers","following_url":"https://api.github.com/users/zhongwen/following{/other_user}","gists_url":"https://api.github.com/users/zhongwen/gists{/gist_id}","starred_url":"https://api.github.com/users/zhongwen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhongwen/subscriptions","organizations_url":"https://api.github.com/users/zhongwen/orgs","repos_url":"https://api.github.com/users/zhongwen/repos","events_url":"https://api.github.com/users/zhongwen/events{/privacy}","received_events_url":"https://api.github.com/users/zhongwen/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-04-21T07:03:07Z","updated_at":"2015-05-02T10:46:10Z","closed_at":"2015-05-02T10:46:10Z","body":"Have you tried to add batch_norm before **each** non-linearity layer? I tried to use batch_norm on other dataset, but I either suffer from NaN problems or cannot make the logloss lower than random. Could you please tell me the principle of adding batch_norm of your configurations?"}}