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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-300) Add residual networks for imagenet classification
Date Fri, 17 Feb 2017 06:24:41 GMT

    [ https://issues.apache.org/jira/browse/SINGA-300?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15871252#comment-15871252
] 

ASF subversion and git services commented on SINGA-300:
-------------------------------------------------------

Commit 8ddfab5fa394acc0fac8f14c4ae7d2576d7460c9 in incubator-singa's branch refs/heads/master
from [~wangwei.cs]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=8ddfab5 ]

SINGA-300 - Add residual networks for imagenet classification

fix bugs for using CPU


> 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



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