{"action":"opened","issue":{"url":"https://api.github.com/repos/DeepMark/deepmark/issues/2","repository_url":"https://api.github.com/repos/DeepMark/deepmark","labels_url":"https://api.github.com/repos/DeepMark/deepmark/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/DeepMark/deepmark/issues/2/comments","events_url":"https://api.github.com/repos/DeepMark/deepmark/issues/2/events","html_url":"https://github.com/DeepMark/deepmark/issues/2","id":158510844,"number":2,"title":"How do we process audio data with fully connected network?","user":{"login":"delta2323","id":407052,"avatar_url":"https://avatars.githubusercontent.com/u/407052?v=3","gravatar_id":"","url":"https://api.github.com/users/delta2323","html_url":"https://github.com/delta2323","followers_url":"https://api.github.com/users/delta2323/followers","following_url":"https://api.github.com/users/delta2323/following{/other_user}","gists_url":"https://api.github.com/users/delta2323/gists{/gist_id}","starred_url":"https://api.github.com/users/delta2323/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/delta2323/subscriptions","organizations_url":"https://api.github.com/users/delta2323/orgs","repos_url":"https://api.github.com/users/delta2323/repos","events_url":"https://api.github.com/users/delta2323/events{/privacy}","received_events_url":"https://api.github.com/users/delta2323/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2016-06-04T16:00:26Z","updated_at":"2016-06-04T16:00:26Z","closed_at":null,"body":"@soumith wrote we will use MSR's 5-layered fully connected network for evaluating frameworks for audio use case. But how do we use this network for processing time-series data?\r\n\r\nOne obvious way is to process data point of each time independently with the network and not to make lateral connections (i.e. connection along time dimension). But I do not know this is the standard way.\r\n\r\nLet me know if I miss some information."}}
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