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https://issues.apache.org/jira/browse/SINGA-231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413776#comment-15413776
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ASF subversion and git services commented on SINGA-231:
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Commit 28678ae8329112ca1f11086b52ded7149ec9ab2c in incubator-singa's branch
refs/heads/dev from [~flytosky]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=28678ae ]
SINGA-231 Batchnormlized VGG model for cifar-10
Merge the training of vgg and alexnet into train.py
The validation accuracy of vgg could reach 0.89
> 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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