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Hi @Hironsan ,
Thanks for sharing a great project. I would like to understand the implementation to use it.
I saw that your CRF's output dimension is fixed to the same size as input's.
The CRF implementation of Keras-Contrib repo allows different dimensions: https://github.com/keras-team/keras-contrib/blob/8e0b9563dc005914d28748d1f36f3e7b70a3de91/keras_contrib/layers/crf.py#L127
Is there a reason behind this? Thank you
The text was updated successfully, but these errors were encountered:
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Hi @Hironsan ,
Thanks for sharing a great project. I would like to understand the implementation to use it.
I saw that your CRF's output dimension is fixed to the same size as input's.
The CRF implementation of Keras-Contrib repo allows different dimensions: https://github.com/keras-team/keras-contrib/blob/8e0b9563dc005914d28748d1f36f3e7b70a3de91/keras_contrib/layers/crf.py#L127
Is there a reason behind this? Thank you
The text was updated successfully, but these errors were encountered: