{"action":"created","issue":{"url":"https://api.github.com/repos/opconty/keras-shufflenetV2/issues/2","repository_url":"https://api.github.com/repos/opconty/keras-shufflenetV2","labels_url":"https://api.github.com/repos/opconty/keras-shufflenetV2/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/opconty/keras-shufflenetV2/issues/2/comments","events_url":"https://api.github.com/repos/opconty/keras-shufflenetV2/issues/2/events","html_url":"https://github.com/opconty/keras-shufflenetV2/issues/2","id":391578263,"node_id":"MDU6SXNzdWUzOTE1NzgyNjM=","number":2,"title":"How to train this network?","user":{"login":"Richardkang1992","id":44053558,"node_id":"MDQ6VXNlcjQ0MDUzNTU4","avatar_url":"https://avatars0.githubusercontent.com/u/44053558?v=4","gravatar_id":"","url":"https://api.github.com/users/Richardkang1992","html_url":"https://github.com/Richardkang1992","followers_url":"https://api.github.com/users/Richardkang1992/followers","following_url":"https://api.github.com/users/Richardkang1992/following{/other_user}","gists_url":"https://api.github.com/users/Richardkang1992/gists{/gist_id}","starred_url":"https://api.github.com/users/Richardkang1992/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Richardkang1992/subscriptions","organizations_url":"https://api.github.com/users/Richardkang1992/orgs","repos_url":"https://api.github.com/users/Richardkang1992/repos","events_url":"https://api.github.com/users/Richardkang1992/events{/privacy}","received_events_url":"https://api.github.com/users/Richardkang1992/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-17T06:47:48Z","updated_at":"2018-12-18T08:12:55Z","closed_at":null,"author_association":"NONE","body":"Dear opconty,\r\n    Thanks for sharing your codes firstly. Of course, I've met some problems when I want to use your codes. Hope that you can help me!\r\n    Where is the main function to train this network? \r\n    I've added this shufflenetV2 network into my own objects, but there were always some errors. So, I want to know how do you add this shuffle network into your object. Would you mind sharing your train.py (or something like this)  to me? "},"comment":{"url":"https://api.github.com/repos/opconty/keras-shufflenetV2/issues/comments/448133163","html_url":"https://github.com/opconty/keras-shufflenetV2/issues/2#issuecomment-448133163","issue_url":"https://api.github.com/repos/opconty/keras-shufflenetV2/issues/2","id":448133163,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0ODEzMzE2Mw==","user":{"login":"opconty","id":10043482,"node_id":"MDQ6VXNlcjEwMDQzNDgy","avatar_url":"https://avatars2.githubusercontent.com/u/10043482?v=4","gravatar_id":"","url":"https://api.github.com/users/opconty","html_url":"https://github.com/opconty","followers_url":"https://api.github.com/users/opconty/followers","following_url":"https://api.github.com/users/opconty/following{/other_user}","gists_url":"https://api.github.com/users/opconty/gists{/gist_id}","starred_url":"https://api.github.com/users/opconty/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/opconty/subscriptions","organizations_url":"https://api.github.com/users/opconty/orgs","repos_url":"https://api.github.com/users/opconty/repos","events_url":"https://api.github.com/users/opconty/events{/privacy}","received_events_url":"https://api.github.com/users/opconty/received_events","type":"User","site_admin":false},"created_at":"2018-12-18T08:12:55Z","updated_at":"2018-12-18T08:12:55Z","author_association":"OWNER","body":"Dear Richardkang:\r\n  you can use this model  like:\r\nfrom shufflenetv2 import ShuffleNetV2\r\n# create model\r\nmodel = ShuffleNetV2(include_top=True, input_shape=(224, 224, 3), bottleneck_ratio=1, classes=1000)\r\n# dataloader\r\n# compile model\r\n# train model\r\n\r\nJust same as  pretrained models in keras, taking vgg16 for e.g.: \r\nIn [1]: from keras.applications import VGG16\r\nIn [2]: model = VGG16(include_top=True, weights='imagenet', input_shape=(224, 22\r\n   ...: 4,3))\r\n\r\nHope this useful."}}
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