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Parallel support implementation of "aggregated residual transformations for deep neural networks" using keras

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ResNeXt-Pararllel

  • Keras Implementation of "Aggregated Residual Transformations for Deep Neural Networks" (CVPR 2017)
  • You can check the paper here : https://arxiv.org/pdf/1611.05431.pdf
  • Support parallel group convolution operation. (using tf.while_loop)
  • Only support tensorflow backend. (theano backend doesn't work)


1. Group Convolution

fig

code


2. Block Architecture (Basic Block)

fig

code


3. Network Architecture (ResNeXt-18)

fig

code


4. Licence

Copyright 2019 Hyunwoong Go

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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Parallel support implementation of "aggregated residual transformations for deep neural networks" using keras

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