{"action":"created","issue":{"url":"https://api.github.com/repos/G-Wang/WaveRNN-Pytorch/issues/1","repository_url":"https://api.github.com/repos/G-Wang/WaveRNN-Pytorch","labels_url":"https://api.github.com/repos/G-Wang/WaveRNN-Pytorch/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/G-Wang/WaveRNN-Pytorch/issues/1/comments","events_url":"https://api.github.com/repos/G-Wang/WaveRNN-Pytorch/issues/1/events","html_url":"https://github.com/G-Wang/WaveRNN-Pytorch/issues/1","id":350663374,"node_id":"MDU6SXNzdWUzNTA2NjMzNzQ=","number":1,"title":"Loss curve","user":{"login":"chaiyujin","id":10378898,"node_id":"MDQ6VXNlcjEwMzc4ODk4","avatar_url":"https://avatars2.githubusercontent.com/u/10378898?v=4","gravatar_id":"","url":"https://api.github.com/users/chaiyujin","html_url":"https://github.com/chaiyujin","followers_url":"https://api.github.com/users/chaiyujin/followers","following_url":"https://api.github.com/users/chaiyujin/following{/other_user}","gists_url":"https://api.github.com/users/chaiyujin/gists{/gist_id}","starred_url":"https://api.github.com/users/chaiyujin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chaiyujin/subscriptions","organizations_url":"https://api.github.com/users/chaiyujin/orgs","repos_url":"https://api.github.com/users/chaiyujin/repos","events_url":"https://api.github.com/users/chaiyujin/events{/privacy}","received_events_url":"https://api.github.com/users/chaiyujin/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2018-08-15T02:22:29Z","updated_at":"2018-08-19T02:03:40Z","closed_at":null,"author_association":"NONE","body":"Hi, I am currently training a wavernn, however, it's hard to train. Have you ever trained a good model? Would you mind to share your loss curve at training phase.\r\n"},"comment":{"url":"https://api.github.com/repos/G-Wang/WaveRNN-Pytorch/issues/comments/414097742","html_url":"https://github.com/G-Wang/WaveRNN-Pytorch/issues/1#issuecomment-414097742","issue_url":"https://api.github.com/repos/G-Wang/WaveRNN-Pytorch/issues/1","id":414097742,"node_id":"MDEyOklzc3VlQ29tbWVudDQxNDA5Nzc0Mg==","user":{"login":"chaiyujin","id":10378898,"node_id":"MDQ6VXNlcjEwMzc4ODk4","avatar_url":"https://avatars2.githubusercontent.com/u/10378898?v=4","gravatar_id":"","url":"https://api.github.com/users/chaiyujin","html_url":"https://github.com/chaiyujin","followers_url":"https://api.github.com/users/chaiyujin/followers","following_url":"https://api.github.com/users/chaiyujin/following{/other_user}","gists_url":"https://api.github.com/users/chaiyujin/gists{/gist_id}","starred_url":"https://api.github.com/users/chaiyujin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chaiyujin/subscriptions","organizations_url":"https://api.github.com/users/chaiyujin/orgs","repos_url":"https://api.github.com/users/chaiyujin/repos","events_url":"https://api.github.com/users/chaiyujin/events{/privacy}","received_events_url":"https://api.github.com/users/chaiyujin/received_events","type":"User","site_admin":false},"created_at":"2018-08-19T02:03:40Z","updated_at":"2018-08-19T02:03:40Z","author_association":"NONE","body":"My model failed to infer good audio. I though there are some bugs in my code. I'm curious about `gaussian output` you mentioned before. Is that similar to mixture logistic loss used in wavenet?"}}
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