{"action":"closed","issue":{"url":"https://api.github.com/repos/dmlc/mxnet-notebooks/issues/13","repository_url":"https://api.github.com/repos/dmlc/mxnet-notebooks","labels_url":"https://api.github.com/repos/dmlc/mxnet-notebooks/issues/13/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/mxnet-notebooks/issues/13/comments","events_url":"https://api.github.com/repos/dmlc/mxnet-notebooks/issues/13/events","html_url":"https://github.com/dmlc/mxnet-notebooks/issues/13","id":190950793,"number":13,"title":"Some question about finetuning","user":{"login":"wangxianliang","id":10250053,"avatar_url":"https://avatars.githubusercontent.com/u/10250053?v=3","gravatar_id":"","url":"https://api.github.com/users/wangxianliang","html_url":"https://github.com/wangxianliang","followers_url":"https://api.github.com/users/wangxianliang/followers","following_url":"https://api.github.com/users/wangxianliang/following{/other_user}","gists_url":"https://api.github.com/users/wangxianliang/gists{/gist_id}","starred_url":"https://api.github.com/users/wangxianliang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wangxianliang/subscriptions","organizations_url":"https://api.github.com/users/wangxianliang/orgs","repos_url":"https://api.github.com/users/wangxianliang/repos","events_url":"https://api.github.com/users/wangxianliang/events{/privacy}","received_events_url":"https://api.github.com/users/wangxianliang/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-11-22T09:44:49Z","updated_at":"2017-01-01T01:49:48Z","closed_at":"2017-01-01T01:49:48Z","body":"1. During fine-tuning, is it possible to set some layers' learning rate as 0, if possible, how to do?\r\n2. In multi-task fine-tuning, how to alter multi-losses with the new one?\r\n3. If I want to remove the last several layers, and replace them with new layers, how to implement?\r\nThanks a lot!"}}
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