{"comment":{"url":"https://api.github.com/repos/HurricaneTong/mlpack/comments/9970271","html_url":"https://github.com/HurricaneTong/mlpack/commit/36f3d9fee59488925971e9ace25349e30c7635f4#commitcomment-9970271","id":9970271,"user":{"login":"HurricaneTong","id":6715118,"avatar_url":"https://avatars.githubusercontent.com/u/6715118?v=3","gravatar_id":"","url":"https://api.github.com/users/HurricaneTong","html_url":"https://github.com/HurricaneTong","followers_url":"https://api.github.com/users/HurricaneTong/followers","following_url":"https://api.github.com/users/HurricaneTong/following{/other_user}","gists_url":"https://api.github.com/users/HurricaneTong/gists{/gist_id}","starred_url":"https://api.github.com/users/HurricaneTong/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/HurricaneTong/subscriptions","organizations_url":"https://api.github.com/users/HurricaneTong/orgs","repos_url":"https://api.github.com/users/HurricaneTong/repos","events_url":"https://api.github.com/users/HurricaneTong/events{/privacy}","received_events_url":"https://api.github.com/users/HurricaneTong/received_events","type":"User","site_admin":false},"position":462,"line":462,"path":"src/mlpack/methods/ann/cnn.hpp","commit_id":"36f3d9fee59488925971e9ace25349e30c7635f4","created_at":"2015-02-28T14:14:59Z","updated_at":"2015-02-28T14:14:59Z","body":"Thanks for pointing this bug. In mnist test, I set batchsize to 1, so after feedforward process is applied to one image, ApplyGradients() is called, and after applying gradients, seqNum is set to 0, so the uninitialized seqNum just affect one image at first, which doesn't lead to a major error in mnist tests."}}