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Releases: Dobiasd/frugally-deep

v0.7.7-p0

22 Feb 21:03
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  • Support for conversion of YOLO models
  • Support for models with multiple embedding layers with different input_dims

v0.7.6-p0

19 Jan 16:07
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Support for AlphaDropout, GaussianDropout SpatialDropout1D, SpatialDropout2D and SpatialDropout3D.

v0.7.5-p0

13 Jan 18:21
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  • Add support for standalone Softmax layer.
  • Fix import of standalone ReLU layer without maximum value.

v0.7.4-p0

05 Jan 17:41
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Support for Permute layer added.

v0.7.3-p0

02 Dec 10:40
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Fix invalid shape of bias matrix in GRU for reset_after=False

v0.7.2-p0

01 Dec 09:27
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Calculate hash from model weights and store to JSON

v0.7.1-p0

30 Nov 06:04
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  • Add support for Embedding layers
  • Add support for GRU layers
  • Fix missing inlines resulting in duplicate function definitions on some compilers

v0.7.0-p0

13 Nov 13:01
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Adds support for the following layer types:

  • Bidirectional
  • LSTM
  • TimeDistributed

v0.6.0-p0

09 Nov 18:00
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API-breaking change: Increase dimensionality of tensors from 3 to 5 (needed for future development, like LSTMs and TimeDistributed):

  • tensor3 -> tensor5
  • shape_hwc -> shape5
  • tensor3::get_yxz -> tensor5::get
  • tensor3::set_yxz -> tensor5::set

Feature:

  • Enable dense layers for non-flattened input tensors.

Fix:

  • Safeguard softmax implementation against NaNs.

v0.5.4-p0

11 Oct 14:34
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  • Slight performance improvements