{"action":"opened","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/3608","repository_url":"https://api.github.com/repos/fchollet/keras","labels_url":"https://api.github.com/repos/fchollet/keras/issues/3608/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/3608/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/3608/events","html_url":"https://github.com/fchollet/keras/issues/3608","id":173636368,"number":3608,"title":"LSUV initialization for keras","user":{"login":"ducha-aiki","id":4803565,"avatar_url":"https://avatars.githubusercontent.com/u/4803565?v=3","gravatar_id":"","url":"https://api.github.com/users/ducha-aiki","html_url":"https://github.com/ducha-aiki","followers_url":"https://api.github.com/users/ducha-aiki/followers","following_url":"https://api.github.com/users/ducha-aiki/following{/other_user}","gists_url":"https://api.github.com/users/ducha-aiki/gists{/gist_id}","starred_url":"https://api.github.com/users/ducha-aiki/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ducha-aiki/subscriptions","organizations_url":"https://api.github.com/users/ducha-aiki/orgs","repos_url":"https://api.github.com/users/ducha-aiki/repos","events_url":"https://api.github.com/users/ducha-aiki/events{/privacy}","received_events_url":"https://api.github.com/users/ducha-aiki/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-08-28T08:43:30Z","updated_at":"2016-08-28T08:43:30Z","closed_at":null,"body":"Here is an implementation of the LSUV initialization https://github.com/ducha-aiki/LSUV-keras \r\nMishkin, D. and Matas, J.. All you need is a good init. ICLR 2016 http://arxiv.org/abs/1511.06422\r\n\r\nI`d like to make PR, but don`t know, which format suits the best. It cannot be just added to other initializations, because it needs to use train data and already compiled model for work.\r\n@fchollet  if you think that such PR will be useful, could you please give me a hint about possible format. Now it is used as following:\r\n\r\n```\r\nfrom lsuv_init import LSUVinit\r\n...\r\nbatch_size = 32\r\nmodel = LSUVinit(model,train_imgs[:batch_size,:,:,:]) \r\n```\r\n"}}
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