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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-98) Add Support for AlexNet ImageNet Classification Model
Date Tue, 05 Jan 2016 16:59:39 GMT

    [ https://issues.apache.org/jira/browse/SINGA-98?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15083356#comment-15083356
] 

ASF subversion and git services commented on SINGA-98:
------------------------------------------------------

Commit fe86b02ae8748f3534e2b6e3197b163c367fed59 in incubator-singa's branch refs/heads/master
from [~wangji]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=fe86b02 ]

SINGA-98 Add Support for AlexNet ImageNet Classification Model

Create the workspace for alexnet, i.e., examples/alexnet
* job.conf for training alexnet on CPU. TODO check the configuration
* im2rec convert image to binary record
* rec2im extract image from binary record for checking the correctness of im2rec


> 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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