GitHub user njayaram2 opened a pull request:
https://github.com/apache/madlib/pull/341
Minibatch Preprocessor for Deep learning
The minibatch preprocessor we currently have in MADlib is bloated for DL
tasks. This feature adds a simplified version of creating buffers, and
divides each element of the independent array by a normalizing constant
for standardization (which is 255.0 by default). This is standard practice
with image data.
Co-authored-by: Arvind Sridhar <asrid...@pivotal.io>
Co-authored-by: Domino Valdano <dvald...@pivotal.io>
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/madlib/madlib
deep-learning/minibatch-preprocessor
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/madlib/pull/341.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #341
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commit 78430bc8586ae0256a24de2472392564a15f7f8e
Author: Nandish Jayaram <njayaram@...>
Date: 2018-12-18T01:54:42Z
Minibatch Preprocessor for Deep learning
The minibatch preprocessor we currently have in MADlib is bloated for DL
tasks. This feature adds a simplified version of creating buffers, and
divides each element of the independent array by a normalizing constant
for standardization (which is 255.0 by default). This is standard practice
with image data.
Co-authored-by: Arvind Sridhar <asrid...@pivotal.io>
Co-authored-by: Domino Valdano <dvald...@pivotal.io>
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