singa-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-231) Batchnormlized VGG model for cifar-10
Date Tue, 09 Aug 2016 16:03:20 GMT

    [ https://issues.apache.org/jira/browse/SINGA-231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413776#comment-15413776
] 

ASF subversion and git services commented on SINGA-231:
-------------------------------------------------------

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



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message