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https://issues.apache.org/jira/browse/SINGA-98?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15083358#comment-15083358
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ASF subversion and git services commented on SINGA-98:
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Commit bb75a0be5f1bf00d24552fb943b5fc40453b5855 in incubator-singa's branch
refs/heads/master from [~flytosky]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=bb75a0b ]
SINGA-98 Add Support for AlexNet ImageNet Classification Model
Update the CudnnActivationLayer to share the data and grad blob with conv layer
for memory space reduction.
It is controlled by the share_src_blobs field in the job config file.
The loss reduces after 3000 iterations using 256 mini-batch like Caffe.
cpplint check; updte job conf for cpu training;
> Add Support for AlexNet ImageNet Classification Model
> -----------------------------------------------------
>
> Key: SINGA-98
> URL: https://issues.apache.org/jira/browse/SINGA-98
> Project: Singa
> Issue Type: New Feature
> Reporter: Wang Ji
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> This ticket is for ImageNet Classification model a.k.a AlexNet.
> This model is a replication of the CNN model described
> [AlexNet](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks)
> publication.
> This model is used to classify high resolution imagines from ImageNet dataset.
> To implement this model, convolutional layer is needed to add a feature that
> support for partitioning the input and output channels into groups to
> stimulate the net structure described in the original publication. Input
> layer needs features to support data augmentation.
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