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ShuffleNet Implementation using Keras Functional Framework 2.0

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Keras ShuffleNet Build Status

ShuffleNet Implementation using Keras Functional Framework 2.0

There is a weight file for groups=3 but I was not able to reproduce the accuracy from the paper. Current accuracy for ImageNet is 0.5228.

Library Versions

  • Keras v2.0.8+
  • Tensorflow 1.0+

References

  1. Keras Framework

  2. ShuffleNet Paper

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MIT License

Note: If you find this project useful, please include reference link in your work.

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ShuffleNet Implementation using Keras Functional Framework 2.0

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  • Python 100.0%