{"action":"closed","issue":{"url":"https://api.github.com/repos/udacity/cn-deep-learning/issues/16","repository_url":"https://api.github.com/repos/udacity/cn-deep-learning","labels_url":"https://api.github.com/repos/udacity/cn-deep-learning/issues/16/labels{/name}","comments_url":"https://api.github.com/repos/udacity/cn-deep-learning/issues/16/comments","events_url":"https://api.github.com/repos/udacity/cn-deep-learning/issues/16/events","html_url":"https://github.com/udacity/cn-deep-learning/issues/16","id":392258389,"node_id":"MDU6SXNzdWUzOTIyNTgzODk=","number":16,"title":"In Dog-project, is DogResnet50Data.npz data wrong? ","user":{"login":"VincentGogo","id":10865626,"node_id":"MDQ6VXNlcjEwODY1NjI2","avatar_url":"https://avatars0.githubusercontent.com/u/10865626?v=4","gravatar_id":"","url":"https://api.github.com/users/VincentGogo","html_url":"https://github.com/VincentGogo","followers_url":"https://api.github.com/users/VincentGogo/followers","following_url":"https://api.github.com/users/VincentGogo/following{/other_user}","gists_url":"https://api.github.com/users/VincentGogo/gists{/gist_id}","starred_url":"https://api.github.com/users/VincentGogo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/VincentGogo/subscriptions","organizations_url":"https://api.github.com/users/VincentGogo/orgs","repos_url":"https://api.github.com/users/VincentGogo/repos","events_url":"https://api.github.com/users/VincentGogo/events{/privacy}","received_events_url":"https://api.github.com/users/VincentGogo/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-18T17:24:30Z","updated_at":"2018-12-26T19:06:49Z","closed_at":"2018-12-26T19:06:49Z","author_association":"NONE","body":"bottleneck_features = np.load('bottleneck_features/DogResnet50Data.npz')\r\nprint(bottleneck_features['train'].shape)\r\n\r\n **out:  (6680, 1, 1, 2048)** \r\n\r\ntensor = path_to_tensor('dogImages/train/001.Affenpinscher/Affenpinscher_00001.jpg')\r\nbottleneck_features = extract_Resnet50(tensor )\r\nprint(bottleneck_features.shape)\r\n\r\n**out:(1, 7, 7, 2048)**\r\n\r\n**The two shape is not match**"}}
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