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QKeras 0.9.0

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@zhuangh zhuangh released this 20 Feb 00:25
· 150 commits to master since this release
v0.9.0
67e7c6b

Major Features

  • qtools energy support for global_average_pooling layer.

  • Added layers for sequence model, LSTM, RNN, GRU.

  • Added activation and weight compression notebook.

  • Added QSeparableConv2D class

    • Renamed previous QSeparableConv2D layer to QMobileNetSeparableConv2D
    • It is more consistent with Keras SeparableConv2D API

  • Bugfix of QDepthwiseConv2D.

  • Added an experimental QAdaptiveActivation layer to learn quantizer integer bits from activation values.

  • Added weight sparsity calculation to model qstats.

  • Enabled AutoQKeras to use custom Keras Tuners.

  • Fixed various bugs in AutoQKeras.

Thanks to our contributors

This release contains contributions from many people at Google and CERN.

Assets 2