In our latest release, version 0.10.0.140, we have added CUDNN engine support to the LSTM layer to solve the Char-RNN 5x faster than when using the CAFFE engine. As described in our last post, the CAFFE version (originally created by Donahue et al. [1]) uses an internal Unrolled Net to implement the recurrent nature of …
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