{"action":"created","issue":{"url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/1030","repository_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j","labels_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/1030/labels{/name}","comments_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/1030/comments","events_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/1030/events","html_url":"https://github.com/deeplearning4j/deeplearning4j/issues/1030","id":125587670,"number":1030,"title":"Fix variable length time series + bidirectional LSTM","user":{"login":"AlexDBlack","id":2360237,"avatar_url":"https://avatars.githubusercontent.com/u/2360237?v=3","gravatar_id":"","url":"https://api.github.com/users/AlexDBlack","html_url":"https://github.com/AlexDBlack","followers_url":"https://api.github.com/users/AlexDBlack/followers","following_url":"https://api.github.com/users/AlexDBlack/following{/other_user}","gists_url":"https://api.github.com/users/AlexDBlack/gists{/gist_id}","starred_url":"https://api.github.com/users/AlexDBlack/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AlexDBlack/subscriptions","organizations_url":"https://api.github.com/users/AlexDBlack/orgs","repos_url":"https://api.github.com/users/AlexDBlack/repos","events_url":"https://api.github.com/users/AlexDBlack/events{/privacy}","received_events_url":"https://api.github.com/users/AlexDBlack/received_events","type":"User","site_admin":false},"labels":[{"id":67900999,"url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/labels/bug","name":"bug","color":"d93f0b","default":true}],"state":"open","locked":false,"assignee":{"login":"AlexDBlack","id":2360237,"avatar_url":"https://avatars.githubusercontent.com/u/2360237?v=3","gravatar_id":"","url":"https://api.github.com/users/AlexDBlack","html_url":"https://github.com/AlexDBlack","followers_url":"https://api.github.com/users/AlexDBlack/followers","following_url":"https://api.github.com/users/AlexDBlack/following{/other_user}","gists_url":"https://api.github.com/users/AlexDBlack/gists{/gist_id}","starred_url":"https://api.github.com/users/AlexDBlack/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AlexDBlack/subscriptions","organizations_url":"https://api.github.com/users/AlexDBlack/orgs","repos_url":"https://api.github.com/users/AlexDBlack/repos","events_url":"https://api.github.com/users/AlexDBlack/events{/privacy}","received_events_url":"https://api.github.com/users/AlexDBlack/received_events","type":"User","site_admin":false},"assignees":[{"login":"AlexDBlack","id":2360237,"avatar_url":"https://avatars.githubusercontent.com/u/2360237?v=3","gravatar_id":"","url":"https://api.github.com/users/AlexDBlack","html_url":"https://github.com/AlexDBlack","followers_url":"https://api.github.com/users/AlexDBlack/followers","following_url":"https://api.github.com/users/AlexDBlack/following{/other_user}","gists_url":"https://api.github.com/users/AlexDBlack/gists{/gist_id}","starred_url":"https://api.github.com/users/AlexDBlack/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AlexDBlack/subscriptions","organizations_url":"https://api.github.com/users/AlexDBlack/orgs","repos_url":"https://api.github.com/users/AlexDBlack/repos","events_url":"https://api.github.com/users/AlexDBlack/events{/privacy}","received_events_url":"https://api.github.com/users/AlexDBlack/received_events","type":"User","site_admin":false}],"milestone":null,"comments":3,"created_at":"2016-01-08T10:54:54Z","updated_at":"2016-11-23T14:24:18Z","closed_at":null,"body":"The new bidirectional LSTM implementation will not work correctly with the current variable length time series (masking) implementation.\nThe issue is that the bidirectional LSTM reverse pass will be receiving non-zero activations from times beyond the end of the shorter/padded time series. This will likely adversely affect network performance.\n"},"comment":{"url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/comments/262525318","html_url":"https://github.com/deeplearning4j/deeplearning4j/issues/1030#issuecomment-262525318","issue_url":"https://api.github.com/repos/deeplearning4j/deeplearning4j/issues/1030","id":262525318,"user":{"login":"agibsonccc","id":1144306,"avatar_url":"https://avatars.githubusercontent.com/u/1144306?v=3","gravatar_id":"","url":"https://api.github.com/users/agibsonccc","html_url":"https://github.com/agibsonccc","followers_url":"https://api.github.com/users/agibsonccc/followers","following_url":"https://api.github.com/users/agibsonccc/following{/other_user}","gists_url":"https://api.github.com/users/agibsonccc/gists{/gist_id}","starred_url":"https://api.github.com/users/agibsonccc/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/agibsonccc/subscriptions","organizations_url":"https://api.github.com/users/agibsonccc/orgs","repos_url":"https://api.github.com/users/agibsonccc/repos","events_url":"https://api.github.com/users/agibsonccc/events{/privacy}","received_events_url":"https://api.github.com/users/agibsonccc/received_events","type":"User","site_admin":false},"created_at":"2016-11-23T14:24:18Z","updated_at":"2016-11-23T14:24:18Z","body":"Still relevant?"}}
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