{"action":"created","issue":{"url":"https://api.github.com/repos/purine/purine2/issues/19","labels_url":"https://api.github.com/repos/purine/purine2/issues/19/labels{/name}","comments_url":"https://api.github.com/repos/purine/purine2/issues/19/comments","events_url":"https://api.github.com/repos/purine/purine2/issues/19/events","html_url":"https://github.com/purine/purine2/issues/19","id":81361932,"number":19,"title":"Discuss the way to reach cifar-10 accuracy 89%","user":{"login":"zhxfl","id":5372706,"avatar_url":"https://avatars.githubusercontent.com/u/5372706?v=3","gravatar_id":"","url":"https://api.github.com/users/zhxfl","html_url":"https://github.com/zhxfl","followers_url":"https://api.github.com/users/zhxfl/followers","following_url":"https://api.github.com/users/zhxfl/following{/other_user}","gists_url":"https://api.github.com/users/zhxfl/gists{/gist_id}","starred_url":"https://api.github.com/users/zhxfl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhxfl/subscriptions","organizations_url":"https://api.github.com/users/zhxfl/orgs","repos_url":"https://api.github.com/users/zhxfl/repos","events_url":"https://api.github.com/users/zhxfl/events{/privacy}","received_events_url":"https://api.github.com/users/zhxfl/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2015-05-27T09:14:08Z","updated_at":"2015-05-28T02:08:10Z","closed_at":null,"body":"I used the demo nin_cifar_10, the iteration is 50000, decay the learning by div 10.0 every 20000 iterator,  and just get 87% accuracy rate. "},"comment":{"url":"https://api.github.com/repos/purine/purine2/issues/comments/106143675","html_url":"https://github.com/purine/purine2/issues/19#issuecomment-106143675","issue_url":"https://api.github.com/repos/purine/purine2/issues/19","id":106143675,"user":{"login":"zhxfl","id":5372706,"avatar_url":"https://avatars.githubusercontent.com/u/5372706?v=3","gravatar_id":"","url":"https://api.github.com/users/zhxfl","html_url":"https://github.com/zhxfl","followers_url":"https://api.github.com/users/zhxfl/followers","following_url":"https://api.github.com/users/zhxfl/following{/other_user}","gists_url":"https://api.github.com/users/zhxfl/gists{/gist_id}","starred_url":"https://api.github.com/users/zhxfl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhxfl/subscriptions","organizations_url":"https://api.github.com/users/zhxfl/orgs","repos_url":"https://api.github.com/users/zhxfl/repos","events_url":"https://api.github.com/users/zhxfl/events{/privacy}","received_events_url":"https://api.github.com/users/zhxfl/received_events","type":"User","site_admin":false},"created_at":"2015-05-28T02:08:10Z","updated_at":"2015-05-28T02:08:10Z","body":"Thank you very much!\r\nThe training detail is  :\r\nfirst learning rate       :   iterations are 40000, learning rate is 0.05;\r\nsecond learning rate :   iterations are 5000  , learning rate is 0.005;\r\nthird learning rate      :   iterations are 5000  , learning rate is 0.0005;\r\nThe final result is 88.2% and 88%. \r\nIs there any other tricks?"}}