{"action":"created","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/1312","labels_url":"https://api.github.com/repos/fchollet/keras/issues/1312/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/1312/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/1312/events","html_url":"https://github.com/fchollet/keras/issues/1312","id":123042796,"number":1312,"title":"Kaggle Data Science Bowl","user":{"login":"fchollet","id":710255,"avatar_url":"https://avatars.githubusercontent.com/u/710255?v=3","gravatar_id":"","url":"https://api.github.com/users/fchollet","html_url":"https://github.com/fchollet","followers_url":"https://api.github.com/users/fchollet/followers","following_url":"https://api.github.com/users/fchollet/following{/other_user}","gists_url":"https://api.github.com/users/fchollet/gists{/gist_id}","starred_url":"https://api.github.com/users/fchollet/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/fchollet/subscriptions","organizations_url":"https://api.github.com/users/fchollet/orgs","repos_url":"https://api.github.com/users/fchollet/repos","events_url":"https://api.github.com/users/fchollet/events{/privacy}","received_events_url":"https://api.github.com/users/fchollet/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2015-12-18T23:22:55Z","updated_at":"2015-12-20T08:14:08Z","closed_at":null,"body":"Who is down for a Keras deep net entry to the Data Science Bowl? https://www.kaggle.com/c/second-annual-data-science-bowl\r\n\r\nI am not interested in the prize money, so you can have that if that's what you're into. I'm interested in seeing Keras used for state of the art applications. \r\n\r\nI can contribute in advising, as well as some coding. I am generally quite busy so other people would to handle most of the work. I also have code lying around for distributed hyperparameter optimization with Keras..."},"comment":{"url":"https://api.github.com/repos/fchollet/keras/issues/comments/166081318","html_url":"https://github.com/fchollet/keras/issues/1312#issuecomment-166081318","issue_url":"https://api.github.com/repos/fchollet/keras/issues/1312","id":166081318,"user":{"login":"meanmee","id":8026086,"avatar_url":"https://avatars.githubusercontent.com/u/8026086?v=3","gravatar_id":"","url":"https://api.github.com/users/meanmee","html_url":"https://github.com/meanmee","followers_url":"https://api.github.com/users/meanmee/followers","following_url":"https://api.github.com/users/meanmee/following{/other_user}","gists_url":"https://api.github.com/users/meanmee/gists{/gist_id}","starred_url":"https://api.github.com/users/meanmee/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/meanmee/subscriptions","organizations_url":"https://api.github.com/users/meanmee/orgs","repos_url":"https://api.github.com/users/meanmee/repos","events_url":"https://api.github.com/users/meanmee/events{/privacy}","received_events_url":"https://api.github.com/users/meanmee/received_events","type":"User","site_admin":false},"created_at":"2015-12-20T08:14:08Z","updated_at":"2015-12-20T08:14:08Z","body":"How to implement a [Fully Convolutional Networks for Semantic Segmentation](http://www.cs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf) via Keras?"}}