{"action":"closed","issue":{"url":"https://api.github.com/repos/BVLC/caffe/issues/4449","repository_url":"https://api.github.com/repos/BVLC/caffe","labels_url":"https://api.github.com/repos/BVLC/caffe/issues/4449/labels{/name}","comments_url":"https://api.github.com/repos/BVLC/caffe/issues/4449/comments","events_url":"https://api.github.com/repos/BVLC/caffe/issues/4449/events","html_url":"https://github.com/BVLC/caffe/issues/4449","id":164981706,"number":4449,"title":" loss = -nan ","user":{"login":"ParhamKhojasteh","id":19772969,"avatar_url":"https://avatars.githubusercontent.com/u/19772969?v=3","gravatar_id":"","url":"https://api.github.com/users/ParhamKhojasteh","html_url":"https://github.com/ParhamKhojasteh","followers_url":"https://api.github.com/users/ParhamKhojasteh/followers","following_url":"https://api.github.com/users/ParhamKhojasteh/following{/other_user}","gists_url":"https://api.github.com/users/ParhamKhojasteh/gists{/gist_id}","starred_url":"https://api.github.com/users/ParhamKhojasteh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ParhamKhojasteh/subscriptions","organizations_url":"https://api.github.com/users/ParhamKhojasteh/orgs","repos_url":"https://api.github.com/users/ParhamKhojasteh/repos","events_url":"https://api.github.com/users/ParhamKhojasteh/events{/privacy}","received_events_url":"https://api.github.com/users/ParhamKhojasteh/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2016-07-12T02:35:46Z","updated_at":"2016-09-10T05:59:40Z","closed_at":"2016-09-10T05:59:40Z","body":"I'm trying to train my Net by my architecture and also my own data set which converted to LMDB. while training my net result is like: \r\n I0712 12:10:30.398227  3123 solver.cpp:404]     Test net output #0: accuracy = 0\r\nI0712 12:10:30.403271  3123 solver.cpp:404]     Test net output #1: loss = 2.48997 (* 1 = 2.48997 loss)\r\nI0712 12:10:37.058244  3123 solver.cpp:228] Iteration 0, loss = 2.46876\r\nI0712 12:10:37.058358  3123 solver.cpp:244]     Train net output #0: loss = 2.46876 (* 1 = 2.46876 loss)\r\nI0712 12:10:37.058405  3123 sgd_solver.cpp:106] Iteration 0, lr = 0.01\r\nI0712 12:18:40.334496  3123 solver.cpp:228] Iteration 100, loss = -nan\r\nI0712 12:18:40.334661  3123 solver.cpp:244]     Train net output #0: loss = -nan (* 1 = -nan loss)\r\n\r\nI do not know what is the meaning of the loss = -nan? is my net working properly or should be some errors on it?\r\n\r\nI used just 40 images for training and 10 images for testing. In this training section I just want to be sure that whether  the system works or not. while my data set includes more that 500000 images for training."}}
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