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Releases: Dobiasd/frugally-deep

v0.3.3-p0

01 Jul 19:42
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  • Once more reduce memory usage when loading a model

v0.3.2-p0

01 Jul 15:49
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  • Further reduce memory usage when loading a model

v0.3.1-p0

01 Jul 15:14
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  • Reduce memory usage when loading a model from file

v0.3.0-p0

29 Jun 13:19
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  • add support for variably shaped input tensors
  • new layers supported: depthwise_conv_2d_layer, PReLU, relu6, average_layer, multiply_layer and subtract_layer
  • improve error handling and messages
  • fixed some minor bugs
  • add support for MobileNet
  • compatibility to Keras 2.2.0

v0.2.3-p0

02 Mar 16:07
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Conan support

v0.2.2-p0

14 Feb 16:34
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Hunter support

v0.2.1-p0

14 Feb 15:01
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Hunter support, CMake modernization

v0.2-p0

07 Feb 16:11
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  • Im2col convolution during prediction became faster, since some calculations now already happen already when loading a model.
  • Support for non-im2col convolution was dropped.

v0.1-p0

05 Feb 10:43
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add remarks about binary size and 32-bit compatibility