[
https://issues.apache.org/jira/browse/SINGA-300?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15871253#comment-15871253
]
ASF subversion and git services commented on SINGA-300:
-------------------------------------------------------
Commit f2ad933815a2ff5e5c78ee667c4221db3092a740 in incubator-singa's branch
refs/heads/master from WANG Sheng
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=f2ad933 ]
SINGA-300 Add residual networks for imagenet classification
Merge pull request 307 to master branch
> Add residual networks for imagenet classification
> -------------------------------------------------
>
> Key: SINGA-300
> URL: https://issues.apache.org/jira/browse/SINGA-300
> Project: Singa
> Issue Type: New Feature
> Reporter: wangwei
>
> This ticket would add a couple of residual networks trained over ImageNet.
> Pre-trained parameters from torch are converted into python dictionary and
> dumped via cPickle.
> In particular, the following residual networks are implemented
> 1. Original residual network https://arxiv.org/abs/1512.03385
> 2. Pre-activation residual network https://arxiv.org/abs/1603.05027
> 3. Wide residual network http://arxiv.org/abs/1605.07146
> reference:
> https://github.com/facebook/fb.resnet.torch
> https://github.com/szagoruyko/wide-residual-networks
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
