{"action":"closed","issue":{"url":"https://api.github.com/repos/petrosgk/Kaggle-Carvana-Image-Masking-Challenge/issues/9","repository_url":"https://api.github.com/repos/petrosgk/Kaggle-Carvana-Image-Masking-Challenge","labels_url":"https://api.github.com/repos/petrosgk/Kaggle-Carvana-Image-Masking-Challenge/issues/9/labels{/name}","comments_url":"https://api.github.com/repos/petrosgk/Kaggle-Carvana-Image-Masking-Challenge/issues/9/comments","events_url":"https://api.github.com/repos/petrosgk/Kaggle-Carvana-Image-Masking-Challenge/issues/9/events","html_url":"https://github.com/petrosgk/Kaggle-Carvana-Image-Masking-Challenge/issues/9","id":253424702,"node_id":"MDU6SXNzdWUyNTM0MjQ3MDI=","number":9,"title":"num_classes?","user":{"login":"anuragreddygv323","id":12067206,"node_id":"MDQ6VXNlcjEyMDY3MjA2","avatar_url":"https://avatars0.githubusercontent.com/u/12067206?v=4","gravatar_id":"","url":"https://api.github.com/users/anuragreddygv323","html_url":"https://github.com/anuragreddygv323","followers_url":"https://api.github.com/users/anuragreddygv323/followers","following_url":"https://api.github.com/users/anuragreddygv323/following{/other_user}","gists_url":"https://api.github.com/users/anuragreddygv323/gists{/gist_id}","starred_url":"https://api.github.com/users/anuragreddygv323/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/anuragreddygv323/subscriptions","organizations_url":"https://api.github.com/users/anuragreddygv323/orgs","repos_url":"https://api.github.com/users/anuragreddygv323/repos","events_url":"https://api.github.com/users/anuragreddygv323/events{/privacy}","received_events_url":"https://api.github.com/users/anuragreddygv323/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2017-08-28T19:05:43Z","updated_at":"2018-12-23T15:39:07Z","closed_at":"2018-12-23T15:39:07Z","author_association":"NONE","body":"num_classes is filters  in the below code ?\r\n\r\n classify = Conv2D(num_classes, (1, 1), activation='sigmoid')(up1)"}}
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