Frank McQuillan created MADLIB-1359:
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Summary: Support DL predict without training on MADlib
Key: MADLIB-1359
URL: https://issues.apache.org/jira/browse/MADLIB-1359
Project: Apache MADlib
Issue Type: New Feature
Components: Module: Neural Networks
Reporter: Frank McQuillan
Fix For: v1.17
Story
As a data scientist,
I want to download a model architecture and weights from an external source and
run predict with MADlib (without training on MADlib)
so that
I can use models designed trained elsewhere without having to do all that work
myself
Acceptance
1. Download a simple model for MNIST and load into model arch table using
helper functions. Run predict on test examples and get predictions.
2. Same as #1 with Places 10 (?) using VGG16 weights.
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