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Bayesian: 3D bayes_by_backprop_layer + Distributed Weight Consolidation #185

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merged 8 commits into from
Dec 6, 2021

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Aakanksha-Rana
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@Aakanksha-Rana Aakanksha-Rana commented Nov 18, 2021

Types of changes

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)

Summary

This code is for 3D conv_variational layer and consolidation of BNN weights according to DWC

Checklist

  • I have added tests to cover my changes
  • I have updated documentation (if necessary)

Acknowledgment

  • I acknowledge that this contribution will be available under the Apache 2 license.

@Aakanksha-Rana Aakanksha-Rana changed the title adding 3D bayes_by_backprop_layer Bayesian: 3D bayes_by_backprop_layer + Dsitributed Weight Consolidation Nov 18, 2021
@Aakanksha-Rana Aakanksha-Rana changed the title Bayesian: 3D bayes_by_backprop_layer + Dsitributed Weight Consolidation Bayesian: 3D bayes_by_backprop_layer + Distributed Weight Consolidation Nov 18, 2021
@satra satra merged commit ed5a17b into neuronets:master Dec 6, 2021
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2 participants