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https://issues.apache.org/jira/browse/SINGA-204?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15351079#comment-15351079
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ASF subversion and git services commented on SINGA-204:
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Commit 71eb059cd13ea41e74195c7c115f927aaf143490 in incubator-singa's branch
refs/heads/dev from [~flytosky]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=71eb059 ]
SINGA-204 Support the training of feed-forward neural nets
Implement Alexnet model for Cifar10 https://code.google.com/p/cuda-convnet/
But the test accuracy is low 0.72 (which should be 0.82).
> Support the training of feed-forward neural nets
> ------------------------------------------------
>
> Key: SINGA-204
> URL: https://issues.apache.org/jira/browse/SINGA-204
> Project: Singa
> Issue Type: New Feature
> Reporter: wangwei
> Assignee: wangwei
>
> For feed-forward neural nets, their layers construct a directly acyclic
> graph. For this ticket, we are going to implement add a FeedForwordNet to
> training these nets, which
> 1. consists of a set of directly connected layers, and
> 2. provides functions for constructing the net by adding layers one by one
> 3. provides access functions for layers and parameters.
> 4. provides functions for forward and backward
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