I would like to use the Concrete Dropout Framework from GAL in application to recurrent neural networks. There is a great paper about it and the implementation can be found on the website (Thank you so much Yarin!):
He implements a Keras Layer called Concrete Dropout, which can be applied to arbitrairy layers. Nevertheless all his examples are feed forward networks, so here is my question:
Can I use it in a straight forward manner to regularize RNNs?
Example Code in Keras for this would be: