{"action":"created","issue":{"url":"https://api.github.com/repos/bluejad/deeplearning/issues/2","repository_url":"https://api.github.com/repos/bluejad/deeplearning","labels_url":"https://api.github.com/repos/bluejad/deeplearning/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/bluejad/deeplearning/issues/2/comments","events_url":"https://api.github.com/repos/bluejad/deeplearning/issues/2/events","html_url":"https://github.com/bluejad/deeplearning/issues/2","id":190677850,"number":2,"title":"CS231n: Convolutional Neural Networks for Visual Recognition","user":{"login":"bluejad","id":11881750,"avatar_url":"https://avatars.githubusercontent.com/u/11881750?v=3","gravatar_id":"","url":"https://api.github.com/users/bluejad","html_url":"https://github.com/bluejad","followers_url":"https://api.github.com/users/bluejad/followers","following_url":"https://api.github.com/users/bluejad/following{/other_user}","gists_url":"https://api.github.com/users/bluejad/gists{/gist_id}","starred_url":"https://api.github.com/users/bluejad/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bluejad/subscriptions","organizations_url":"https://api.github.com/users/bluejad/orgs","repos_url":"https://api.github.com/users/bluejad/repos","events_url":"https://api.github.com/users/bluejad/events{/privacy}","received_events_url":"https://api.github.com/users/bluejad/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":29,"created_at":"2016-11-21T10:37:51Z","updated_at":"2016-11-22T06:31:40Z","closed_at":null,"body":"斯坦福CS231n：面向视觉识别的卷积神经网络\r\n\r\nCS231n课程翻译系列\r\n\r\n课程教师Andrej Karpathy"},"comment":{"url":"https://api.github.com/repos/bluejad/deeplearning/issues/comments/262159167","html_url":"https://github.com/bluejad/deeplearning/issues/2#issuecomment-262159167","issue_url":"https://api.github.com/repos/bluejad/deeplearning/issues/2","id":262159167,"user":{"login":"bluejad","id":11881750,"avatar_url":"https://avatars.githubusercontent.com/u/11881750?v=3","gravatar_id":"","url":"https://api.github.com/users/bluejad","html_url":"https://github.com/bluejad","followers_url":"https://api.github.com/users/bluejad/followers","following_url":"https://api.github.com/users/bluejad/following{/other_user}","gists_url":"https://api.github.com/users/bluejad/gists{/gist_id}","starred_url":"https://api.github.com/users/bluejad/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bluejad/subscriptions","organizations_url":"https://api.github.com/users/bluejad/orgs","repos_url":"https://api.github.com/users/bluejad/repos","events_url":"https://api.github.com/users/bluejad/events{/privacy}","received_events_url":"https://api.github.com/users/bluejad/received_events","type":"User","site_admin":false},"created_at":"2016-11-22T06:31:40Z","updated_at":"2016-11-22T06:31:40Z","body":"无正则损失函数无向量python实现\r\n\r\nD = W.shape[0]  类别数\r\n\r\ny  正确类指定的数\r\n\r\n\r\n```\r\ndef L_i(x,y,W)\r\n    D.shape[0]\r\n    loss_i = 0.0\r\n    scores = W.dot.(x)\r\n    correct_class_score = scores[y]\r\n    delta = 1.0\r\n    for j in xrange(D)\r\n        if j == y:\r\n            continue\r\n        loss_i += max(0,scores[j] - scores[y] + delta)\r\nreturn loss_i\r\n```\r\n"}}
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