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@thib-s thib-s released this 26 May 09:54
· 326 commits to master since this release
v1.1.1
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This revision contains:

  • bugfixes in losses.py: fixed a problem with data types in HKR_loss and fixed a weighting problem in KR_multiclass_loss.
  • changed behavior of FrobeniusDense in the multi class setup : now using FrobeniusDense with 10 output neurons is now equivalent to stack 10 FrobeniuDense layers with 1 output neuron. The L2normalization is performed on each neuron instead of the full weight matrix
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