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Posted to issues@systemml.apache.org by "Mike Dusenberry (JIRA)" <ji...@apache.org> on 2017/06/19 20:56:00 UTC

[jira] [Closed] (SYSTEMML-1674) Add a new 2D depthwise convolution layer

     [ https://issues.apache.org/jira/browse/SYSTEMML-1674?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mike Dusenberry closed SYSTEMML-1674.
-------------------------------------

> Add a new 2D depthwise convolution layer
> ----------------------------------------
>
>                 Key: SYSTEMML-1674
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1674
>             Project: SystemML
>          Issue Type: Sub-task
>            Reporter: Mike Dusenberry
>            Assignee: Mike Dusenberry
>             Fix For: SystemML 1.0
>
>
> A depthwise convolution (1) applies a different set of M filters to each input channel separately, thus expanding each input channel to M output channels, and (2) concatenates the results into a single volume with C*M output channels. This is in contrast to a regular 2D convolution, in which all of the filters would be applied to all of the input channels at once.



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