{"action":"opened","issue":{"url":"https://api.github.com/repos/jcjohnson/neural-style/issues/310","repository_url":"https://api.github.com/repos/jcjohnson/neural-style","labels_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/310/labels{/name}","comments_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/310/comments","events_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/310/events","html_url":"https://github.com/jcjohnson/neural-style/issues/310","id":171855474,"number":310,"title":"Is there an implementation for visualising the information each layer contains?","user":{"login":"ycjing","id":15648732,"avatar_url":"https://avatars.githubusercontent.com/u/15648732?v=3","gravatar_id":"","url":"https://api.github.com/users/ycjing","html_url":"https://github.com/ycjing","followers_url":"https://api.github.com/users/ycjing/followers","following_url":"https://api.github.com/users/ycjing/following{/other_user}","gists_url":"https://api.github.com/users/ycjing/gists{/gist_id}","starred_url":"https://api.github.com/users/ycjing/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ycjing/subscriptions","organizations_url":"https://api.github.com/users/ycjing/orgs","repos_url":"https://api.github.com/users/ycjing/repos","events_url":"https://api.github.com/users/ycjing/events{/privacy}","received_events_url":"https://api.github.com/users/ycjing/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-08-18T09:20:25Z","updated_at":"2016-08-18T09:20:25Z","closed_at":null,"body":"To better understand the method, I wonder if there is an implementation for content reconstruction in figure 1 of the paper \"A Neural Algorithm of Artistic Style\" so that we can visualise the information at different processing stages in the CNN. I find the reference paper \"Understanding Deep Image Representations by Inverting Them\" but I still cannot acquire the result I want. \r\nThanks ahead of time!"}}
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