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From "Glenn Weidner (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SYSTEMML-1675) Add a new 2D depthwise transpose convolution layer
Date Sat, 09 Sep 2017 05:08:00 GMT

     [ https://issues.apache.org/jira/browse/SYSTEMML-1675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Glenn Weidner updated SYSTEMML-1675:
------------------------------------
    Fix Version/s:     (was: SystemML 1.0)
                   SystemML 0.15

> Add a new 2D depthwise transpose convolution layer
> --------------------------------------------------
>
>                 Key: SYSTEMML-1675
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1675
>             Project: SystemML
>          Issue Type: New Feature
>            Reporter: Mike Dusenberry
>            Assignee: Mike Dusenberry
>             Fix For: SystemML 0.15
>
>
> A depthwise transpose convolution (1) applies a different filter to each unique group
of M input channels separately, thus condensing each group of M input channels to 1 output
channel, and (2) concatenates the results into a single volume with C/M output channels. This
is in contrast to a regular 2D transpose convolution, in which all of the filters would be
applied to all of the input channels at once.



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