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https://issues.apache.org/jira/browse/SINGA-98?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15083357#comment-15083357
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ASF subversion and git services commented on SINGA-98:
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Commit 6e815db34b2ca8808ef020071d689043c1e7c469 in incubator-singa's branch
refs/heads/master from [~flytosky]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=6e815db ]
SINGA-98 Add Support for AlexNet ImageNet Classification Model
Update job.conf for alexnet: learning rate, layer order, lr_scale/wd_scale; add
cudnn.conf.
Fix a bug in image_preprocess.cc which sets the dst pointer incorrectly.
It leads to the observation that the loss and accuracy does not improve after a
few iterations;
(the loss is about 6.90x, tested for about 10k iterations);
Cafffe's performance starts improving after 3000 iterations (is around 6.90x
during 200-3500 iterations).
After fixing the bug, training using mini-batch 128 works, but the loss starts
reducing after around 10k steps.
> 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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