{"action":"created","issue":{"url":"https://api.github.com/repos/locuslab/TCN/issues/3","repository_url":"https://api.github.com/repos/locuslab/TCN","labels_url":"https://api.github.com/repos/locuslab/TCN/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/locuslab/TCN/issues/3/comments","events_url":"https://api.github.com/repos/locuslab/TCN/issues/3/events","html_url":"https://github.com/locuslab/TCN/issues/3","id":303388464,"number":3,"title":"How to use cnn for seq2seq tasks ? ","user":{"login":"vivanov879","id":598178,"avatar_url":"https://avatars0.githubusercontent.com/u/598178?v=4","gravatar_id":"","url":"https://api.github.com/users/vivanov879","html_url":"https://github.com/vivanov879","followers_url":"https://api.github.com/users/vivanov879/followers","following_url":"https://api.github.com/users/vivanov879/following{/other_user}","gists_url":"https://api.github.com/users/vivanov879/gists{/gist_id}","starred_url":"https://api.github.com/users/vivanov879/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vivanov879/subscriptions","organizations_url":"https://api.github.com/users/vivanov879/orgs","repos_url":"https://api.github.com/users/vivanov879/repos","events_url":"https://api.github.com/users/vivanov879/events{/privacy}","received_events_url":"https://api.github.com/users/vivanov879/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-03-08T07:59:35Z","updated_at":"2018-03-10T04:03:39Z","closed_at":null,"author_association":"NONE","body":"Hi. How do I use cnn for seq2seq? I understand that cnn can be used as a encoder. What about decoder? I looked through tensorflow transformer, where you iteratively generate one symbol a time by feeding <start symbol, none, none, ...>, then <start symbol, 1st generated symbol, none, none ,...> and so on into decoder and use a mask to avoid backward information flow. Is that the same approach here ? "},"comment":{"url":"https://api.github.com/repos/locuslab/TCN/issues/comments/372000701","html_url":"https://github.com/locuslab/TCN/issues/3#issuecomment-372000701","issue_url":"https://api.github.com/repos/locuslab/TCN/issues/3","id":372000701,"user":{"login":"vivanov879","id":598178,"avatar_url":"https://avatars0.githubusercontent.com/u/598178?v=4","gravatar_id":"","url":"https://api.github.com/users/vivanov879","html_url":"https://github.com/vivanov879","followers_url":"https://api.github.com/users/vivanov879/followers","following_url":"https://api.github.com/users/vivanov879/following{/other_user}","gists_url":"https://api.github.com/users/vivanov879/gists{/gist_id}","starred_url":"https://api.github.com/users/vivanov879/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vivanov879/subscriptions","organizations_url":"https://api.github.com/users/vivanov879/orgs","repos_url":"https://api.github.com/users/vivanov879/repos","events_url":"https://api.github.com/users/vivanov879/events{/privacy}","received_events_url":"https://api.github.com/users/vivanov879/received_events","type":"User","site_admin":false},"created_at":"2018-03-10T04:03:39Z","updated_at":"2018-03-10T04:03:39Z","author_association":"NONE","body":"As an unsupervised task, I also thought of picking several future values, say, [t+5, t+10, t+20] as targets at every step -- again, without a decoder."}}
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