{"action":"opened","issue":{"url":"https://api.github.com/repos/keras-team/keras/issues/9714","repository_url":"https://api.github.com/repos/keras-team/keras","labels_url":"https://api.github.com/repos/keras-team/keras/issues/9714/labels{/name}","comments_url":"https://api.github.com/repos/keras-team/keras/issues/9714/comments","events_url":"https://api.github.com/repos/keras-team/keras/issues/9714/events","html_url":"https://github.com/keras-team/keras/issues/9714","id":307142503,"number":9714,"title":"Handle a lot of data","user":{"login":"mgp1994","id":18127188,"avatar_url":"https://avatars3.githubusercontent.com/u/18127188?v=4","gravatar_id":"","url":"https://api.github.com/users/mgp1994","html_url":"https://github.com/mgp1994","followers_url":"https://api.github.com/users/mgp1994/followers","following_url":"https://api.github.com/users/mgp1994/following{/other_user}","gists_url":"https://api.github.com/users/mgp1994/gists{/gist_id}","starred_url":"https://api.github.com/users/mgp1994/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mgp1994/subscriptions","organizations_url":"https://api.github.com/users/mgp1994/orgs","repos_url":"https://api.github.com/users/mgp1994/repos","events_url":"https://api.github.com/users/mgp1994/events{/privacy}","received_events_url":"https://api.github.com/users/mgp1994/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-03-21T07:31:28Z","updated_at":"2018-03-21T07:31:28Z","closed_at":null,"author_association":"NONE","body":"Hello,\r\n\r\nI am doing a two stream neural netowork where my data are videos and  feature vectors. I have got more than 50.000 samples and apart from that I have to do a preprocess. I am using Spyder IDE and when I load 5.000 samples into a matrix it shows that I am close to out of memory ram. \r\n\r\nIs there any form to load into a matrix all data without out of memory?\r\n\r\nThanks!!\r\n"}}
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