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https://issues.apache.org/jira/browse/SYSTEMML-1819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1819:
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Description:
This task covers the creation of a "Keras2DML" frontend for SystemML, built
upon the [Caffe2DML |
http://apache.github.io/systemml/beginners-guide-caffe2dml] infrastructure,
that will allow users to define (and even train) models in Keras and then
import them into SystemML for distributed training and prediction. As an
initial set of thoughts, the input could be either (1) a Keras {{Model}}
object, or (2) a saved Keras model hdf5 file, and the output of training could
be either (1) a Keras {{Model}} object, (2) a saved Keras model hdf5 file, or
(3) a SystemML model.
This would be a step towards a full-blown, official backend for Keras. The
main goal here would be to allow users to be able to transparently make use of
distributed training, without having to learn the details of SystemML.
was:
This task covers the creation of a "Keras2DML" frontend for SystemML, built
upon the Caffe2DML infrastructure, that will allow users to define (and even
train) models in Keras and then import them into SystemML for distributed
training and prediction. As an initial set of thoughts, the input could be
either (1) a Keras {{Model}} object, or (2) a saved Keras model hdf5 file, and
the output of training could be either (1) a Keras {{Model}} object, (2) a
saved Keras model hdf5 file, or (3) a SystemML model.
This would be a step towards a full-blown, official backend for Keras. The
main goal here would be to allow users to be able to transparently make use of
distributed training, without having to learn the details of SystemML.
> Create Keras2DML: Keras frontend to SystemML
> --------------------------------------------
>
> Key: SYSTEMML-1819
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1819
> Project: SystemML
> Issue Type: New Feature
> Reporter: Mike Dusenberry
>
> This task covers the creation of a "Keras2DML" frontend for SystemML, built
> upon the [Caffe2DML |
> http://apache.github.io/systemml/beginners-guide-caffe2dml] infrastructure,
> that will allow users to define (and even train) models in Keras and then
> import them into SystemML for distributed training and prediction. As an
> initial set of thoughts, the input could be either (1) a Keras {{Model}}
> object, or (2) a saved Keras model hdf5 file, and the output of training
> could be either (1) a Keras {{Model}} object, (2) a saved Keras model hdf5
> file, or (3) a SystemML model.
> This would be a step towards a full-blown, official backend for Keras. The
> main goal here would be to allow users to be able to transparently make use
> of distributed training, without having to learn the details of SystemML.
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