{"action":"opened","issue":{"url":"https://api.github.com/repos/cs231n/cs231n.github.io/issues/58","labels_url":"https://api.github.com/repos/cs231n/cs231n.github.io/issues/58/labels{/name}","comments_url":"https://api.github.com/repos/cs231n/cs231n.github.io/issues/58/comments","events_url":"https://api.github.com/repos/cs231n/cs231n.github.io/issues/58/events","html_url":"https://github.com/cs231n/cs231n.github.io/issues/58","id":123089940,"number":58,"title":"Question about an example in ConvNet note","user":{"login":"YunseokJANG","id":3064380,"avatar_url":"https://avatars.githubusercontent.com/u/3064380?v=3","gravatar_id":"","url":"https://api.github.com/users/YunseokJANG","html_url":"https://github.com/YunseokJANG","followers_url":"https://api.github.com/users/YunseokJANG/followers","following_url":"https://api.github.com/users/YunseokJANG/following{/other_user}","gists_url":"https://api.github.com/users/YunseokJANG/gists{/gist_id}","starred_url":"https://api.github.com/users/YunseokJANG/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/YunseokJANG/subscriptions","organizations_url":"https://api.github.com/users/YunseokJANG/orgs","repos_url":"https://api.github.com/users/YunseokJANG/repos","events_url":"https://api.github.com/users/YunseokJANG/events{/privacy}","received_events_url":"https://api.github.com/users/YunseokJANG/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-12-19T14:52:35Z","updated_at":"2015-12-19T14:52:35Z","closed_at":null,"body":"To be honest, I'm not sure that I understood correctly or not. So I wrote it in here as an issue, not as a pull request.\r\n\r\nIn the very last paragraph of \"Converting FC layers to CONV layers\" part in ConvNet note( http://cs231n.github.io/convolutional-networks/#convert ), there is an example about efficiently applying the original ConvNet using stride of 16 (rather than 32). The document says that it could be solved by combining result of the original one and the shifted, in both width and height by 16, one. However, I think that it needs to be applied 4 times to fill the matrix. (if not, only black or white region of the chess board would be filled, once you consider the result of the final matrix as a chess board)\r\n\r\nAm I understood correctly? "}}