{"action":"created","issue":{"url":"https://api.github.com/repos/WeitaoVan/L-GM-loss/issues/1","repository_url":"https://api.github.com/repos/WeitaoVan/L-GM-loss","labels_url":"https://api.github.com/repos/WeitaoVan/L-GM-loss/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/WeitaoVan/L-GM-loss/issues/1/comments","events_url":"https://api.github.com/repos/WeitaoVan/L-GM-loss/issues/1/events","html_url":"https://github.com/WeitaoVan/L-GM-loss/issues/1","id":311900615,"number":1,"title":"when tensorflow implementation release","user":{"login":"EmmaW8","id":16148104,"avatar_url":"https://avatars3.githubusercontent.com/u/16148104?v=4","gravatar_id":"","url":"https://api.github.com/users/EmmaW8","html_url":"https://github.com/EmmaW8","followers_url":"https://api.github.com/users/EmmaW8/followers","following_url":"https://api.github.com/users/EmmaW8/following{/other_user}","gists_url":"https://api.github.com/users/EmmaW8/gists{/gist_id}","starred_url":"https://api.github.com/users/EmmaW8/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/EmmaW8/subscriptions","organizations_url":"https://api.github.com/users/EmmaW8/orgs","repos_url":"https://api.github.com/users/EmmaW8/repos","events_url":"https://api.github.com/users/EmmaW8/events{/privacy}","received_events_url":"https://api.github.com/users/EmmaW8/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-04-06T09:05:30Z","updated_at":"2018-04-08T01:46:59Z","closed_at":null,"author_association":"NONE","body":"Hello!\r\nThanks for your wonderful work and sharing.\r\nJust wonder when will release the tensorflow version of L-GM loss.\r\n\r\nThanks a lot."},"comment":{"url":"https://api.github.com/repos/WeitaoVan/L-GM-loss/issues/comments/379512360","html_url":"https://github.com/WeitaoVan/L-GM-loss/issues/1#issuecomment-379512360","issue_url":"https://api.github.com/repos/WeitaoVan/L-GM-loss/issues/1","id":379512360,"user":{"login":"WeitaoVan","id":16603489,"avatar_url":"https://avatars3.githubusercontent.com/u/16603489?v=4","gravatar_id":"","url":"https://api.github.com/users/WeitaoVan","html_url":"https://github.com/WeitaoVan","followers_url":"https://api.github.com/users/WeitaoVan/followers","following_url":"https://api.github.com/users/WeitaoVan/following{/other_user}","gists_url":"https://api.github.com/users/WeitaoVan/gists{/gist_id}","starred_url":"https://api.github.com/users/WeitaoVan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/WeitaoVan/subscriptions","organizations_url":"https://api.github.com/users/WeitaoVan/orgs","repos_url":"https://api.github.com/users/WeitaoVan/repos","events_url":"https://api.github.com/users/WeitaoVan/events{/privacy}","received_events_url":"https://api.github.com/users/WeitaoVan/received_events","type":"User","site_admin":false},"created_at":"2018-04-08T01:46:59Z","updated_at":"2018-04-08T01:46:59Z","author_association":"OWNER","body":"Hi, Emma\r\n\r\nFor the tensorflow code, I have tested the classification task only on small datasets such as CIFAR100.\r\n\r\nIn fact the implementation in Tensorflow is straightforward. Because you don't have to write back-propagation. You can write the loss according to the formulation. For convenience and better convergence, you can first try fixing the covariance matrix to Identity Matrix. :)\r\n\r\nBest wishes."}}
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