{"action":"created","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/4201","repository_url":"https://api.github.com/repos/fchollet/keras","labels_url":"https://api.github.com/repos/fchollet/keras/issues/4201/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/4201/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/4201/events","html_url":"https://github.com/fchollet/keras/issues/4201","id":185419701,"number":4201,"title":"An important thing, but is not resolved all along: how to get the gradients of network w.r.t weights","user":{"login":"jf003320018","id":6231180,"avatar_url":"https://avatars.githubusercontent.com/u/6231180?v=3","gravatar_id":"","url":"https://api.github.com/users/jf003320018","html_url":"https://github.com/jf003320018","followers_url":"https://api.github.com/users/jf003320018/followers","following_url":"https://api.github.com/users/jf003320018/following{/other_user}","gists_url":"https://api.github.com/users/jf003320018/gists{/gist_id}","starred_url":"https://api.github.com/users/jf003320018/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jf003320018/subscriptions","organizations_url":"https://api.github.com/users/jf003320018/orgs","repos_url":"https://api.github.com/users/jf003320018/repos","events_url":"https://api.github.com/users/jf003320018/events{/privacy}","received_events_url":"https://api.github.com/users/jf003320018/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-10-26T15:00:33Z","updated_at":"2016-10-26T16:55:59Z","closed_at":null,"body":"I have checked the related issues, and find that the issues how to get the gradients of network w.r.t weights is not sovled all along. \r\nNew issues are open recently, but no one answer. \r\nSo could any one give an example to get gradients of network w.r.t weights or bias in any layer? \r\nI think this is an important thing. "},"comment":{"url":"https://api.github.com/repos/fchollet/keras/issues/comments/256411316","html_url":"https://github.com/fchollet/keras/issues/4201#issuecomment-256411316","issue_url":"https://api.github.com/repos/fchollet/keras/issues/4201","id":256411316,"user":{"login":"igormq","id":623536,"avatar_url":"https://avatars.githubusercontent.com/u/623536?v=3","gravatar_id":"","url":"https://api.github.com/users/igormq","html_url":"https://github.com/igormq","followers_url":"https://api.github.com/users/igormq/followers","following_url":"https://api.github.com/users/igormq/following{/other_user}","gists_url":"https://api.github.com/users/igormq/gists{/gist_id}","starred_url":"https://api.github.com/users/igormq/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/igormq/subscriptions","organizations_url":"https://api.github.com/users/igormq/orgs","repos_url":"https://api.github.com/users/igormq/repos","events_url":"https://api.github.com/users/igormq/events{/privacy}","received_events_url":"https://api.github.com/users/igormq/received_events","type":"User","site_admin":false},"created_at":"2016-10-26T16:55:58Z","updated_at":"2016-10-26T16:55:58Z","body":"You can use [K.gradients](https://github.com/fchollet/keras/blob/master/keras/backend/tensorflow_backend.py#L1061) to do that."}}
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