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From "Mike Dusenberry (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SYSTEMML-1674) Add a new 2D depthwise convolution layer
Date Mon, 19 Jun 2017 02:14:00 GMT

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

Mike Dusenberry updated SYSTEMML-1674:
--------------------------------------
    Description: 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.

> 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
>
> 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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