{"action":"opened","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/4337","repository_url":"https://api.github.com/repos/fchollet/keras","labels_url":"https://api.github.com/repos/fchollet/keras/issues/4337/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/4337/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/4337/events","html_url":"https://github.com/fchollet/keras/issues/4337","id":188403789,"number":4337,"title":"Build our own batch of input data","user":{"login":"amnKhatami","id":20833773,"avatar_url":"https://avatars.githubusercontent.com/u/20833773?v=3","gravatar_id":"","url":"https://api.github.com/users/amnKhatami","html_url":"https://github.com/amnKhatami","followers_url":"https://api.github.com/users/amnKhatami/followers","following_url":"https://api.github.com/users/amnKhatami/following{/other_user}","gists_url":"https://api.github.com/users/amnKhatami/gists{/gist_id}","starred_url":"https://api.github.com/users/amnKhatami/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/amnKhatami/subscriptions","organizations_url":"https://api.github.com/users/amnKhatami/orgs","repos_url":"https://api.github.com/users/amnKhatami/repos","events_url":"https://api.github.com/users/amnKhatami/events{/privacy}","received_events_url":"https://api.github.com/users/amnKhatami/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-11-10T02:18:03Z","updated_at":"2016-11-10T02:18:03Z","closed_at":null,"body":"10000 images are feed to a CNN system as a training set with batches of 128. The question is that we want to create our own batch data, rather than the random one. More specifically, these 128 images setting as one batch are selected specifically. Is there any way in Keras? I appreciate any help.   "}}
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