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Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

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arxiv 1912.05911 v1 pith:CDBKEHWP submitted 2019-11-23 cs.LG stat.ML

Robin M. Schmidt This is my paper · ORCID
classification cs.LGstat.ML
keywords networksneuralrecurrentareasconceptsgeneratinggiveoverview
verification ladder T0 review T1 audit T2 compute T3 formal
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State-of-the-art solutions in the areas of "Language Modelling & Generating Text", "Speech Recognition", "Generating Image Descriptions" or "Video Tagging" have been using Recurrent Neural Networks as the foundation for their approaches. Understanding the underlying concepts is therefore of tremendous importance if we want to keep up with recent or upcoming publications in those areas. In this work we give a short overview over some of the most important concepts in the realm of Recurrent Neural Networks which enables readers to easily understand the fundamentals such as but not limited to "Backpropagation through Time" or "Long Short-Term Memory Units" as well as some of the more recent advances like the "Attention Mechanism" or "Pointer Networks". We also give recommendations for further reading regarding more complex topics where it is necessary.

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Forward citations

Cited by 6 Pith papers

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