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Posted to dev@singa.apache.org by "wangwei (JIRA)" <ji...@apache.org> on 2016/10/06 12:02:20 UTC

[jira] [Commented] (SINGA-231) Batchnormlized VGG model for cifar-10

    [ https://issues.apache.org/jira/browse/SINGA-231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15551745#comment-15551745 ] 

wangwei commented on SINGA-231:
-------------------------------

The latest accuracy is 0.92

> Batchnormlized VGG model for cifar-10
> -------------------------------------
>
>                 Key: SINGA-231
>                 URL: https://issues.apache.org/jira/browse/SINGA-231
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: Wang Ji
>            Assignee: Wang Ji
>            Priority: Minor
>
> In this ticket, we implemented a batch normalized VGG model for cifar10 dataset (refer to http://torch.ch/blog/2015/07/30/cifar.html).
> * +vgg-parallel.cc for parallel training
> * +vgg.py using python language



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