{"action":"created","issue":{"url":"https://api.github.com/repos/changtimwu/changtimwu.github.com/issues/57","repository_url":"https://api.github.com/repos/changtimwu/changtimwu.github.com","labels_url":"https://api.github.com/repos/changtimwu/changtimwu.github.com/issues/57/labels{/name}","comments_url":"https://api.github.com/repos/changtimwu/changtimwu.github.com/issues/57/comments","events_url":"https://api.github.com/repos/changtimwu/changtimwu.github.com/issues/57/events","html_url":"https://github.com/changtimwu/changtimwu.github.com/issues/57","id":179008642,"number":57,"title":"deep learning in six hours","user":{"login":"changtimwu","id":400410,"avatar_url":"https://avatars.githubusercontent.com/u/400410?v=3","gravatar_id":"","url":"https://api.github.com/users/changtimwu","html_url":"https://github.com/changtimwu","followers_url":"https://api.github.com/users/changtimwu/followers","following_url":"https://api.github.com/users/changtimwu/following{/other_user}","gists_url":"https://api.github.com/users/changtimwu/gists{/gist_id}","starred_url":"https://api.github.com/users/changtimwu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/changtimwu/subscriptions","organizations_url":"https://api.github.com/users/changtimwu/orgs","repos_url":"https://api.github.com/users/changtimwu/repos","events_url":"https://api.github.com/users/changtimwu/events{/privacy}","received_events_url":"https://api.github.com/users/changtimwu/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2016-09-24T03:46:09Z","updated_at":"2016-09-24T03:52:48Z","closed_at":null,"body":"http://www.slideshare.net/tw_dsconf/ss-62245351"},"comment":{"url":"https://api.github.com/repos/changtimwu/changtimwu.github.com/issues/comments/249343237","html_url":"https://github.com/changtimwu/changtimwu.github.com/issues/57#issuecomment-249343237","issue_url":"https://api.github.com/repos/changtimwu/changtimwu.github.com/issues/57","id":249343237,"user":{"login":"changtimwu","id":400410,"avatar_url":"https://avatars.githubusercontent.com/u/400410?v=3","gravatar_id":"","url":"https://api.github.com/users/changtimwu","html_url":"https://github.com/changtimwu","followers_url":"https://api.github.com/users/changtimwu/followers","following_url":"https://api.github.com/users/changtimwu/following{/other_user}","gists_url":"https://api.github.com/users/changtimwu/gists{/gist_id}","starred_url":"https://api.github.com/users/changtimwu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/changtimwu/subscriptions","organizations_url":"https://api.github.com/users/changtimwu/orgs","repos_url":"https://api.github.com/users/changtimwu/repos","events_url":"https://api.github.com/users/changtimwu/events{/privacy}","received_events_url":"https://api.github.com/users/changtimwu/received_events","type":"User","site_admin":false},"created_at":"2016-09-24T03:52:48Z","updated_at":"2016-09-24T03:52:48Z","body":"p82 \r\noriginal gradient descent vs mini-batch\r\n\r\n* pro: mini-batch is much faster.  All batches can be parallely computed.\r\n* con: mini-batch not toward minimum global loss\r\n\r\nWhen you have a powerful parallel machine, do you still need mini-batch?\r\nNo!  No batch doesnt offer you better result eve in GTX 1080.\r\n\r\n\r\n"}}
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