{"action":"created","issue":{"url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform/issues/15","repository_url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform","labels_url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform/issues/15/labels{/name}","comments_url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform/issues/15/comments","events_url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform/issues/15/events","html_url":"https://github.com/yanzhengbin/Neural_Style_Transform/issues/15","id":327210059,"number":15,"title":"models中的deconv函数的作用","user":{"login":"yanzhengbin","id":23233971,"avatar_url":"https://avatars2.githubusercontent.com/u/23233971?v=4","gravatar_id":"","url":"https://api.github.com/users/yanzhengbin","html_url":"https://github.com/yanzhengbin","followers_url":"https://api.github.com/users/yanzhengbin/followers","following_url":"https://api.github.com/users/yanzhengbin/following{/other_user}","gists_url":"https://api.github.com/users/yanzhengbin/gists{/gist_id}","starred_url":"https://api.github.com/users/yanzhengbin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yanzhengbin/subscriptions","organizations_url":"https://api.github.com/users/yanzhengbin/orgs","repos_url":"https://api.github.com/users/yanzhengbin/repos","events_url":"https://api.github.com/users/yanzhengbin/events{/privacy}","received_events_url":"https://api.github.com/users/yanzhengbin/received_events","type":"User","site_admin":false},"labels":[{"id":921219544,"url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform/labels/duplicate","name":"duplicate","color":"cfd3d7","default":true},{"id":921219549,"url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform/labels/question","name":"question","color":"d876e3","default":true}],"state":"open","locked":false,"assignee":{"login":"yanzhengbin","id":23233971,"avatar_url":"https://avatars2.githubusercontent.com/u/23233971?v=4","gravatar_id":"","url":"https://api.github.com/users/yanzhengbin","html_url":"https://github.com/yanzhengbin","followers_url":"https://api.github.com/users/yanzhengbin/followers","following_url":"https://api.github.com/users/yanzhengbin/following{/other_user}","gists_url":"https://api.github.com/users/yanzhengbin/gists{/gist_id}","starred_url":"https://api.github.com/users/yanzhengbin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yanzhengbin/subscriptions","organizations_url":"https://api.github.com/users/yanzhengbin/orgs","repos_url":"https://api.github.com/users/yanzhengbin/repos","events_url":"https://api.github.com/users/yanzhengbin/events{/privacy}","received_events_url":"https://api.github.com/users/yanzhengbin/received_events","type":"User","site_admin":false},"assignees":[{"login":"yanzhengbin","id":23233971,"avatar_url":"https://avatars2.githubusercontent.com/u/23233971?v=4","gravatar_id":"","url":"https://api.github.com/users/yanzhengbin","html_url":"https://github.com/yanzhengbin","followers_url":"https://api.github.com/users/yanzhengbin/followers","following_url":"https://api.github.com/users/yanzhengbin/following{/other_user}","gists_url":"https://api.github.com/users/yanzhengbin/gists{/gist_id}","starred_url":"https://api.github.com/users/yanzhengbin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yanzhengbin/subscriptions","organizations_url":"https://api.github.com/users/yanzhengbin/orgs","repos_url":"https://api.github.com/users/yanzhengbin/repos","events_url":"https://api.github.com/users/yanzhengbin/events{/privacy}","received_events_url":"https://api.github.com/users/yanzhengbin/received_events","type":"User","site_admin":false}],"milestone":null,"comments":0,"created_at":"2018-05-29T08:02:57Z","updated_at":"2018-05-29T08:08:22Z","closed_at":null,"author_association":"OWNER","body":"反卷积和resize卷积的作用"},"comment":{"url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform/issues/comments/392689613","html_url":"https://github.com/yanzhengbin/Neural_Style_Transform/issues/15#issuecomment-392689613","issue_url":"https://api.github.com/repos/yanzhengbin/Neural_Style_Transform/issues/15","id":392689613,"user":{"login":"yanzhengbin","id":23233971,"avatar_url":"https://avatars2.githubusercontent.com/u/23233971?v=4","gravatar_id":"","url":"https://api.github.com/users/yanzhengbin","html_url":"https://github.com/yanzhengbin","followers_url":"https://api.github.com/users/yanzhengbin/followers","following_url":"https://api.github.com/users/yanzhengbin/following{/other_user}","gists_url":"https://api.github.com/users/yanzhengbin/gists{/gist_id}","starred_url":"https://api.github.com/users/yanzhengbin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yanzhengbin/subscriptions","organizations_url":"https://api.github.com/users/yanzhengbin/orgs","repos_url":"https://api.github.com/users/yanzhengbin/repos","events_url":"https://api.github.com/users/yanzhengbin/events{/privacy}","received_events_url":"https://api.github.com/users/yanzhengbin/received_events","type":"User","site_admin":false},"created_at":"2018-05-29T08:08:22Z","updated_at":"2018-05-29T08:08:22Z","author_association":"OWNER","body":"对于神经网络生成的图像会伴随着噪声产生，对于这些噪声最好的方法是采用反卷积处理，resize卷积是反卷积的一种特殊处理方式，随与棋盘效应的噪声用很好的效果。"}}
{"actor":{"display_login":"yanzhengbin"}}