Will soon release CuDNNGRU and CuDNNLSTM layers for Keras. A lot less features than the GRU and LSTM layers, but ~6-7x faster on GPU.
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I presume the code isn't public yet? If there are Keras apps that rely on recurrent dropout, weight dropping / DropConnect should work.
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The built-in dropout isn't helpful, and implementing something equivalent to recurrent dropout will be left to a later project
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I think adding Recurrent Highway Connection would be great too
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