Proceedings-Artikel

An Easy-To-Use Recurrent Neural Network Architecture for Sequence Recognition

Marcus Liwicki
In: Technical Committee on Pattern Recognition and Media Understanding. Pattern Recognition and Media Understanding (PRMU-2010), February 18-19, Tokyo, Japan, Pages 69-74, 2/2010.

Abstract

In this presentation the recently introduced Bidirectional Recurrent Neural Networks will be described. They allow for a direct recognition of raw pixel data. Promising experimental results on various datasets from different countries are presented. A toolkit implementing the networks is freely available for public.

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