Dropout improves Recurrent Neural Networks for Handwriting Recognition

5 Nov 2013Vu PhamThéodore BlucheChristopher KermorvantJérôme Louradour

Recurrent neural networks (RNNs) with Long Short-Term memory cells currently hold the best known results in unconstrained handwriting recognition. We show that their performance can be greatly improved using dropout - a recently proposed regularization method for deep architectures... (read more)

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