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From "Mike Dusenberry (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SYSTEMML-1599) Extend nn layers to support different initialization type
Date Thu, 11 May 2017 20:42:04 GMT

    [ https://issues.apache.org/jira/browse/SYSTEMML-1599?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16007144#comment-16007144
] 

Mike Dusenberry commented on SYSTEMML-1599:
-------------------------------------------

Oh one more thing, it would be really good to add default arguments to the parser layer (I
think the runtime already supports it) first so that we can have a sane default for the layer
{{init}} functions.

> Extend nn layers to support different initialization type
> ---------------------------------------------------------
>
>                 Key: SYSTEMML-1599
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1599
>             Project: SystemML
>          Issue Type: Sub-task
>            Reporter: Niketan Pansare
>
> Caffe currently supports the users to configure different initialization types:
> 1. constant
> 2. uniform
> 3. gaussian
> 4. positive_unitball
> 5. xavier
> 6. msra
> 7. bilinear
> The init() function of the layer should accept `type` variable which can be passed by
Caffe2DML.
> [~mwdusenb@us.ibm.com] [~prithvi_r_s]



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