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Releases: Dobiasd/frugally-deep

v0.15.22-p0

20 Sep 10:08
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v0.15.21-p0

23 Jul 20:10
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  • Added support for CategoryEncoding layer with output_mode one_hot
  • Added support for Attention layer
  • Fixed zero variance in a Normalization layer
  • Added support for keepdims in global pooling layers

v0.15.20-p0

05 Mar 11:26
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  • Improved the performance of the Dense layer
  • Fixed variance-size assertion in the Normalization layer
  • Added support for new layer types:
    • ActivityRegularization
    • CategoryEncoding
    • CenterCrop
    • Cropping3D
    • Dot
    • Minimum
    • Resizing
    • ZeroPadding3D

v0.15.19-p0

22 Jul 18:06
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  • Fixes interpretation of axis value in Normalization layer (issue 357)

v0.15.18-p0

11 Jun 05:01
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  • Improved performance (with strides==(1, 1)) of Conv2D, DepthwiseConv2D, and SeparableConv2D.
  • JSON export: Reduced memory usage and output.file size.

v0.15.17-p0

12 May 15:19
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  • Added support for the Rescaling layer.

v0.15.16-p0

21 Mar 09:44
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  • Fixed missing inline keyword.

v0.15.15-p0

20 Mar 08:48
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  • Improved performance of SeparableConv2D and DepthwiseConv2D layers

v0.15.14-p0

13 Mar 07:32
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  • improved checks and docs
  • added support for FixedDropout (noop)
  • added support for tensor expansion in Multiply layer

v0.15.13-p0

27 Nov 18:37
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