{"action":"created","issue":{"url":"https://api.github.com/repos/cmusatyalab/openface/issues/103","repository_url":"https://api.github.com/repos/cmusatyalab/openface","labels_url":"https://api.github.com/repos/cmusatyalab/openface/issues/103/labels{/name}","comments_url":"https://api.github.com/repos/cmusatyalab/openface/issues/103/comments","events_url":"https://api.github.com/repos/cmusatyalab/openface/issues/103/events","html_url":"https://github.com/cmusatyalab/openface/issues/103","id":138856341,"number":103,"title":"Train with VGG Dataset","user":{"login":"bamos","id":707462,"avatar_url":"https://avatars.githubusercontent.com/u/707462?v=3","gravatar_id":"","url":"https://api.github.com/users/bamos","html_url":"https://github.com/bamos","followers_url":"https://api.github.com/users/bamos/followers","following_url":"https://api.github.com/users/bamos/following{/other_user}","gists_url":"https://api.github.com/users/bamos/gists{/gist_id}","starred_url":"https://api.github.com/users/bamos/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bamos/subscriptions","organizations_url":"https://api.github.com/users/bamos/orgs","repos_url":"https://api.github.com/users/bamos/repos","events_url":"https://api.github.com/users/bamos/events{/privacy}","received_events_url":"https://api.github.com/users/bamos/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":6,"created_at":"2016-03-07T00:52:49Z","updated_at":"2016-03-07T15:29:38Z","closed_at":null,"body":"\\cc @melgor\r\n\r\nUsing only triplets with the current OpenFace code doesn't\r\ngive us LFW accuracy over 90%, which I'm surprised by since\r\nthe VGG dataset is much larger than the CASIA/FaceScrub dataset\r\nthat gives us ~93% LFW accuracy.\r\n\r\nI'm going to try making the training procedure closer to the VGG paper\r\nby adding a classification loss.\r\n\r\n![train-loss pdf](https://cloud.githubusercontent.com/assets/707462/13558517/689730da-e3d4-11e5-86fb-8928412a265d.png)\r\n![lfw-accuracy pdf](https://cloud.githubusercontent.com/assets/707462/13558516/6896d2e8-e3d4-11e5-8850-512d0f343d38.png)"},"comment":{"url":"https://api.github.com/repos/cmusatyalab/openface/issues/comments/193299109","html_url":"https://github.com/cmusatyalab/openface/issues/103#issuecomment-193299109","issue_url":"https://api.github.com/repos/cmusatyalab/openface/issues/103","id":193299109,"user":{"login":"bamos","id":707462,"avatar_url":"https://avatars.githubusercontent.com/u/707462?v=3","gravatar_id":"","url":"https://api.github.com/users/bamos","html_url":"https://github.com/bamos","followers_url":"https://api.github.com/users/bamos/followers","following_url":"https://api.github.com/users/bamos/following{/other_user}","gists_url":"https://api.github.com/users/bamos/gists{/gist_id}","starred_url":"https://api.github.com/users/bamos/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bamos/subscriptions","organizations_url":"https://api.github.com/users/bamos/orgs","repos_url":"https://api.github.com/users/bamos/repos","events_url":"https://api.github.com/users/bamos/events{/privacy}","received_events_url":"https://api.github.com/users/bamos/received_events","type":"User","site_admin":false},"created_at":"2016-03-07T15:29:38Z","updated_at":"2016-03-07T15:29:38Z","body":"@melgor/@stevenluzheng - when you fine-tune with triplet loss after classification, do you restrict the updates to just the last layer or do you update the entire network?"}}