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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-328) Add VGG models for ImageNet classification
Date Sun, 27 Aug 2017 03:15:01 GMT

    [ https://issues.apache.org/jira/browse/SINGA-328?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16142989#comment-16142989
] 

ASF subversion and git services commented on SINGA-328:
-------------------------------------------------------

Commit aa9747babc02a81c51e4c682658275070c3268af in incubator-singa's branch refs/heads/master
from [~zhaojing]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=aa9747b ]

Merge branch 'SINGA-328'


> Add VGG models for ImageNet classification
> ------------------------------------------
>
>                 Key: SINGA-328
>                 URL: https://issues.apache.org/jira/browse/SINGA-328
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>            Assignee: wangwei
>
> There are 4 VGG models proposed in the paper https://arxiv.org/abs/1409.1556.
> These 4 models are later updated by adding batch-normalization layers.
> In this ticket, we convert the pre-trained parameters from [pytorch|https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py]
into SINGA. Users can then fine-tune the VGG models for their own data using the pre-trained
parameters.



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