{"action":"created","issue":{"url":"https://api.github.com/repos/da03/Attention-OCR/issues/67","repository_url":"https://api.github.com/repos/da03/Attention-OCR","labels_url":"https://api.github.com/repos/da03/Attention-OCR/issues/67/labels{/name}","comments_url":"https://api.github.com/repos/da03/Attention-OCR/issues/67/comments","events_url":"https://api.github.com/repos/da03/Attention-OCR/issues/67/events","html_url":"https://github.com/da03/Attention-OCR/issues/67","id":299402389,"number":67,"title":"Why are there not bias terms in the CNN model?","user":{"login":"MBleeker","id":8037483,"avatar_url":"https://avatars0.githubusercontent.com/u/8037483?v=4","gravatar_id":"","url":"https://api.github.com/users/MBleeker","html_url":"https://github.com/MBleeker","followers_url":"https://api.github.com/users/MBleeker/followers","following_url":"https://api.github.com/users/MBleeker/following{/other_user}","gists_url":"https://api.github.com/users/MBleeker/gists{/gist_id}","starred_url":"https://api.github.com/users/MBleeker/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MBleeker/subscriptions","organizations_url":"https://api.github.com/users/MBleeker/orgs","repos_url":"https://api.github.com/users/MBleeker/repos","events_url":"https://api.github.com/users/MBleeker/events{/privacy}","received_events_url":"https://api.github.com/users/MBleeker/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-02-22T15:43:45Z","updated_at":"2018-02-22T18:53:01Z","closed_at":null,"author_association":"NONE","body":""},"comment":{"url":"https://api.github.com/repos/da03/Attention-OCR/issues/comments/367782557","html_url":"https://github.com/da03/Attention-OCR/issues/67#issuecomment-367782557","issue_url":"https://api.github.com/repos/da03/Attention-OCR/issues/67","id":367782557,"user":{"login":"da03","id":5753959,"avatar_url":"https://avatars1.githubusercontent.com/u/5753959?v=4","gravatar_id":"","url":"https://api.github.com/users/da03","html_url":"https://github.com/da03","followers_url":"https://api.github.com/users/da03/followers","following_url":"https://api.github.com/users/da03/following{/other_user}","gists_url":"https://api.github.com/users/da03/gists{/gist_id}","starred_url":"https://api.github.com/users/da03/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/da03/subscriptions","organizations_url":"https://api.github.com/users/da03/orgs","repos_url":"https://api.github.com/users/da03/repos","events_url":"https://api.github.com/users/da03/events{/privacy}","received_events_url":"https://api.github.com/users/da03/received_events","type":"User","site_admin":false},"created_at":"2018-02-22T18:53:01Z","updated_at":"2018-02-22T18:53:01Z","author_association":"OWNER","body":"I see. Yes you're right, since we apply batch norm before ReLU's, anyway the features are recentered such that bias terms are not needed."}}
{"actor":{"display_login":"da03"}}