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cs.LG2017★ 5 cited
A comprehensive study of batch construction strategies for recurrent neural networks in MXNet
Patrick Doetsch, Pavel Golik, Hermann Ney
In this work we compare different batch construction methods for mini-batch training of recurrent neural networks. While popular implementations like TensorFlow and MXNet suggest a…
cs.LG2016
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
Patrick Doetsch, Albert Zeyer, Paul Voigtlaender +3
In this work we release our extensible and easily configurable neural network training software. It provides a rich set of functional layers with a particular focus on efficient tr…