{"action":"created","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/3206","repository_url":"https://api.github.com/repos/fchollet/keras","labels_url":"https://api.github.com/repos/fchollet/keras/issues/3206/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/3206/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/3206/events","html_url":"https://github.com/fchollet/keras/issues/3206","id":165154355,"number":3206,"title":"Training multi-task network with mostly missing labels","user":{"login":"iskandr","id":48441,"avatar_url":"https://avatars.githubusercontent.com/u/48441?v=3","gravatar_id":"","url":"https://api.github.com/users/iskandr","html_url":"https://github.com/iskandr","followers_url":"https://api.github.com/users/iskandr/followers","following_url":"https://api.github.com/users/iskandr/following{/other_user}","gists_url":"https://api.github.com/users/iskandr/gists{/gist_id}","starred_url":"https://api.github.com/users/iskandr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/iskandr/subscriptions","organizations_url":"https://api.github.com/users/iskandr/orgs","repos_url":"https://api.github.com/users/iskandr/repos","events_url":"https://api.github.com/users/iskandr/events{/privacy}","received_events_url":"https://api.github.com/users/iskandr/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2016-07-12T18:59:50Z","updated_at":"2016-07-13T08:00:14Z","closed_at":null,"body":"Sorry if this is something that's become more obvious with the functional API but I'm trying to train networks with >100 outputs and for each sample I only get labels for a random subset of those outputs (often more than 1 but rarely more than 10). Do I need to use a custom loss to zero out loss contributions from missing outputs or is somehow already handled within the `Model` class? \r\n\r\nThanks!"},"comment":{"url":"https://api.github.com/repos/fchollet/keras/issues/comments/232284521","html_url":"https://github.com/fchollet/keras/issues/3206#issuecomment-232284521","issue_url":"https://api.github.com/repos/fchollet/keras/issues/3206","id":232284521,"user":{"login":"sileod","id":9168444,"avatar_url":"https://avatars.githubusercontent.com/u/9168444?v=3","gravatar_id":"","url":"https://api.github.com/users/sileod","html_url":"https://github.com/sileod","followers_url":"https://api.github.com/users/sileod/followers","following_url":"https://api.github.com/users/sileod/following{/other_user}","gists_url":"https://api.github.com/users/sileod/gists{/gist_id}","starred_url":"https://api.github.com/users/sileod/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sileod/subscriptions","organizations_url":"https://api.github.com/users/sileod/orgs","repos_url":"https://api.github.com/users/sileod/repos","events_url":"https://api.github.com/users/sileod/events{/privacy}","received_events_url":"https://api.github.com/users/sileod/received_events","type":"User","site_admin":false},"created_at":"2016-07-13T08:00:14Z","updated_at":"2016-07-13T08:00:14Z","body":"Isn't it better to make one model per output, and share the same parameters ? "}}
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