{"action":"created","issue":{"url":"https://api.github.com/repos/tensorflow/tfjs/issues/766","repository_url":"https://api.github.com/repos/tensorflow/tfjs","labels_url":"https://api.github.com/repos/tensorflow/tfjs/issues/766/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tfjs/issues/766/comments","events_url":"https://api.github.com/repos/tensorflow/tfjs/issues/766/events","html_url":"https://github.com/tensorflow/tfjs/issues/766","id":367303411,"node_id":"MDU6SXNzdWUzNjczMDM0MTE=","number":766,"title":"Different Result when saving model and predicting using keras","user":{"login":"kamalkraj","id":17096858,"node_id":"MDQ6VXNlcjE3MDk2ODU4","avatar_url":"https://avatars1.githubusercontent.com/u/17096858?v=4","gravatar_id":"","url":"https://api.github.com/users/kamalkraj","html_url":"https://github.com/kamalkraj","followers_url":"https://api.github.com/users/kamalkraj/followers","following_url":"https://api.github.com/users/kamalkraj/following{/other_user}","gists_url":"https://api.github.com/users/kamalkraj/gists{/gist_id}","starred_url":"https://api.github.com/users/kamalkraj/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kamalkraj/subscriptions","organizations_url":"https://api.github.com/users/kamalkraj/orgs","repos_url":"https://api.github.com/users/kamalkraj/repos","events_url":"https://api.github.com/users/kamalkraj/events{/privacy}","received_events_url":"https://api.github.com/users/kamalkraj/received_events","type":"User","site_admin":false},"labels":[{"id":875269125,"node_id":"MDU6TGFiZWw4NzUyNjkxMjU=","url":"https://api.github.com/repos/tensorflow/tfjs/labels/layers","name":"layers","color":"e899ab","default":false},{"id":856192919,"node_id":"MDU6TGFiZWw4NTYxOTI5MTk=","url":"https://api.github.com/repos/tensorflow/tfjs/labels/question","name":"question","color":"eeeeee","default":true}],"state":"open","locked":false,"assignee":{"login":"caisq","id":16824702,"node_id":"MDQ6VXNlcjE2ODI0NzAy","avatar_url":"https://avatars2.githubusercontent.com/u/16824702?v=4","gravatar_id":"","url":"https://api.github.com/users/caisq","html_url":"https://github.com/caisq","followers_url":"https://api.github.com/users/caisq/followers","following_url":"https://api.github.com/users/caisq/following{/other_user}","gists_url":"https://api.github.com/users/caisq/gists{/gist_id}","starred_url":"https://api.github.com/users/caisq/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/caisq/subscriptions","organizations_url":"https://api.github.com/users/caisq/orgs","repos_url":"https://api.github.com/users/caisq/repos","events_url":"https://api.github.com/users/caisq/events{/privacy}","received_events_url":"https://api.github.com/users/caisq/received_events","type":"User","site_admin":false},"assignees":[{"login":"caisq","id":16824702,"node_id":"MDQ6VXNlcjE2ODI0NzAy","avatar_url":"https://avatars2.githubusercontent.com/u/16824702?v=4","gravatar_id":"","url":"https://api.github.com/users/caisq","html_url":"https://github.com/caisq","followers_url":"https://api.github.com/users/caisq/followers","following_url":"https://api.github.com/users/caisq/following{/other_user}","gists_url":"https://api.github.com/users/caisq/gists{/gist_id}","starred_url":"https://api.github.com/users/caisq/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/caisq/subscriptions","organizations_url":"https://api.github.com/users/caisq/orgs","repos_url":"https://api.github.com/users/caisq/repos","events_url":"https://api.github.com/users/caisq/events{/privacy}","received_events_url":"https://api.github.com/users/caisq/received_events","type":"User","site_admin":false}],"milestone":null,"comments":3,"created_at":"2018-10-05T17:35:42Z","updated_at":"2018-10-06T22:27:51Z","closed_at":null,"author_association":"NONE","body":"To get help from the community, check out our [Google group](https://groups.google.com/a/tensorflow.org/forum/#!forum/tfjs).\r\n\r\n#### TensorFlow.js\r\n0.13.0\r\n#### Browser version\r\n\r\nChrome Version 69.0.3497.100 (Official Build) (64-bit)\r\n\r\n#### Describe the problem or feature request\r\n![screenshot 2018-10-05 at 10 51 39 pm](https://user-images.githubusercontent.com/17096858/46550513-f2720680-c8f2-11e8-8bcb-7f4197a911ae.png)\r\n\r\n![screenshot 2018-10-05 at 10 52 49 pm](https://user-images.githubusercontent.com/17096858/46550494-e2f2bd80-c8f2-11e8-9315-64bcdf655176.png)\r\n\r\nkeras 2.2.2\r\ntensorflow 1.11.0\r\n\r\n#### Code to reproduce the bug / link to feature request"},"comment":{"url":"https://api.github.com/repos/tensorflow/tfjs/issues/comments/427610747","html_url":"https://github.com/tensorflow/tfjs/issues/766#issuecomment-427610747","issue_url":"https://api.github.com/repos/tensorflow/tfjs/issues/766","id":427610747,"node_id":"MDEyOklzc3VlQ29tbWVudDQyNzYxMDc0Nw==","user":{"login":"caisq","id":16824702,"node_id":"MDQ6VXNlcjE2ODI0NzAy","avatar_url":"https://avatars2.githubusercontent.com/u/16824702?v=4","gravatar_id":"","url":"https://api.github.com/users/caisq","html_url":"https://github.com/caisq","followers_url":"https://api.github.com/users/caisq/followers","following_url":"https://api.github.com/users/caisq/following{/other_user}","gists_url":"https://api.github.com/users/caisq/gists{/gist_id}","starred_url":"https://api.github.com/users/caisq/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/caisq/subscriptions","organizations_url":"https://api.github.com/users/caisq/orgs","repos_url":"https://api.github.com/users/caisq/repos","events_url":"https://api.github.com/users/caisq/events{/privacy}","received_events_url":"https://api.github.com/users/caisq/received_events","type":"User","site_admin":false},"created_at":"2018-10-06T22:27:51Z","updated_at":"2018-10-06T22:27:51Z","author_association":"COLLABORATOR","body":"@kamalkraj Thanks for providing the model files. I am not able to reproduce your issue. I tried it on my Linux laptop, in these environments:\r\n\r\n* Node.js, using tfjs-node 0.1.18\r\n* In the browser (Chrome and Firefox), using tfjs 0.13.1. \r\n\r\nThey all give the result [[0.2324104],], i.e., the same as the Python result, but different from the 0.21 result you got in your browser. What's your operating system and device type?"}}
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