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1.5.0

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@cofri cofri released this 28 Nov 17:53
· 9 commits to master since this release
v1.5.0
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Learn about vigilant mode.

New features and improvements

  • Two new losses based on standard Keras cross-entropy losses with a settable temperature for softmax:
    • TauSparseCategoricalCrossentropy equivalent to Keras SparseCategoricalCrossentropy
    • TauBinaryCrossentropy equivalent to Keras BinaryCrossentropy
  • New module deel.lip.compute_layer_sv to compute the largest and lowest singular values of layers compute_layer_sv() or of a whole model compute_model_sv().
  • Power iteration algorithm for convolution.
  • New "Getting Started" tutorial to introduce 1-Lipschitz neural networks.
  • Documentation migration from Sphinx to MkDocs.

API changes

  • Activations are now imported via deel.lip.layers submodule, e.g. deel.lip.layers.GroupSort instead of deel.lip.activations.GroupSort. We adopted the same convention as Keras. The legacy submodule is still available for retro-compatibility but will be removed in a future release.
  • Unconstrained layers must now be imported using deel.lip.layers.unconstrained submodule, e.g. deel.lip.layers.unconstrained.PadConv2D.

Fixes

  • Fix InvertibleUpSampling __call__() returning None.

Full changelog: v1.4.0...v1.5.0

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