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From "Mike Dusenberry (JIRA)" <>
Subject [jira] [Updated] (SYSTEMML-1676) Add a new 2D softmax layer
Date Wed, 28 Jun 2017 20:02:00 GMT


Mike Dusenberry updated SYSTEMML-1676:
    Issue Type: New Feature  (was: Sub-task)
        Parent:     (was: SYSTEMML-618)

> Add a new 2D softmax layer
> --------------------------
>                 Key: SYSTEMML-1676
>                 URL:
>             Project: SystemML
>          Issue Type: New Feature
>            Reporter: Mike Dusenberry
>            Assignee: Fei Hu
>              Labels: SYSTEMML-618
> A 2D softmax layer would accept a tensor of shape {{(N,C,H,W)}}, where the {{C}} axis
contains scores for {{D}} classes, and output a tensor of the same shape, with the scores
transformed to normalized probabilities.  The typical use case would be a segmentation problem,
in which every pixel has a multiclass prediction.

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