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Batch normalization significantly lowers training time, http://arxiv.org/pdf/1502.03167v3.pdf
This is to be based on Caffe PR BVLC/caffe#1965 unless some other implementation surfaces.
Two steps:
The text was updated successfully, but these errors were encountered:
This repository has many useful tricks and code snippets: https://github.com/lim0606/ndsb And interesting comment: lim0606/ndsb#1
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PR BVLC/caffe#3229 got merged into Caffe.
added template for googlenet with batch normalization, ref #7
28efa86
Merge pull request #7 from beniz/tf
02be500
fixed dependency of bazel hash + fixed linking of dede exe with tenso…
Done a while ago through net_templates.
beniz
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Batch normalization significantly lowers training time, http://arxiv.org/pdf/1502.03167v3.pdf
This is to be based on Caffe PR BVLC/caffe#1965 unless some other implementation surfaces.
Two steps:
The text was updated successfully, but these errors were encountered: