{"action":"created","issue":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/784","labels_url":"https://api.github.com/repos/dmlc/mxnet/issues/784/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/mxnet/issues/784/comments","events_url":"https://api.github.com/repos/dmlc/mxnet/issues/784/events","html_url":"https://github.com/dmlc/mxnet/issues/784","id":119952293,"number":784,"title":" Is there a l2 loss layer in mxnet ?","user":{"login":"brightown","id":4392944,"avatar_url":"https://avatars.githubusercontent.com/u/4392944?v=3","gravatar_id":"","url":"https://api.github.com/users/brightown","html_url":"https://github.com/brightown","followers_url":"https://api.github.com/users/brightown/followers","following_url":"https://api.github.com/users/brightown/following{/other_user}","gists_url":"https://api.github.com/users/brightown/gists{/gist_id}","starred_url":"https://api.github.com/users/brightown/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/brightown/subscriptions","organizations_url":"https://api.github.com/users/brightown/orgs","repos_url":"https://api.github.com/users/brightown/repos","events_url":"https://api.github.com/users/brightown/events{/privacy}","received_events_url":"https://api.github.com/users/brightown/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2015-12-02T14:23:55Z","updated_at":"2015-12-02T17:24:46Z","closed_at":null,"body":"Does mxnet support l2 loss now?Like EuclideanLossLayer in caffe?\r\nIf I want to add other loss function, e.g. hinge loss,how to implement it?"},"comment":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/comments/161371313","html_url":"https://github.com/dmlc/mxnet/issues/784#issuecomment-161371313","issue_url":"https://api.github.com/repos/dmlc/mxnet/issues/784","id":161371313,"user":{"login":"tqchen","id":2577440,"avatar_url":"https://avatars.githubusercontent.com/u/2577440?v=3","gravatar_id":"","url":"https://api.github.com/users/tqchen","html_url":"https://github.com/tqchen","followers_url":"https://api.github.com/users/tqchen/followers","following_url":"https://api.github.com/users/tqchen/following{/other_user}","gists_url":"https://api.github.com/users/tqchen/gists{/gist_id}","starred_url":"https://api.github.com/users/tqchen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tqchen/subscriptions","organizations_url":"https://api.github.com/users/tqchen/orgs","repos_url":"https://api.github.com/users/tqchen/repos","events_url":"https://api.github.com/users/tqchen/events{/privacy}","received_events_url":"https://api.github.com/users/tqchen/received_events","type":"User","site_admin":false},"created_at":"2015-12-02T17:24:46Z","updated_at":"2015-12-02T17:24:46Z","body":"c.f. http://mxnet.readthedocs.org/en/latest/python/symbol.html#mxnet.symbol.LinearRegressionOutput\r\nThis page contains all the symbolic operators, maybe we should put the reference to ops to a more clear place"}}