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https://issues.apache.org/jira/browse/SINGA-363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16481453#comment-16481453
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ASF subversion and git services commented on SINGA-363:
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Commit dd58f49aca8d3ac1b837aa3af159e38255d0e48f in incubator-singa's branch
refs/heads/master from [~asyz13jinage]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=dd58f49 ]
SINGA-363 Fix some bugs in imagenet examples
> Add DenseNet for ImageNet classification
> ----------------------------------------
>
> Key: SINGA-363
> URL: https://issues.apache.org/jira/browse/SINGA-363
> Project: Singa
> Issue Type: New Feature
> Reporter: wentong
> Priority: Minor
>
> The DenseNet[ |http://arxiv.org/abs/1602.07261]models are a series of deep
> CNN models with high performance.
> We convert the parameters pre-trained from Pytorch into pickle dictionary
> and load them into the net created using SINGA FeedForwardNet.
> Coding style and format will follow previous examples.
> In the meantime, some other minor bugs in "examples" folder would be fixed in
> order to run in Python 3 environment.
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