Learning Over Long Time Lags

Hojjat Salehinejad

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arXiv · 1602.04335

Learning Over Long Time Lags

Hojjat Salehinejad

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Abstract

The advantage of recurrent neural networks (RNNs) in learning dependencies between time-series data has distinguished RNNs from other deep learning models. Recently, many advances are proposed in this emerging field. However, there is a lack of comprehensive review on memory models in RNNs in the literature. This paper provides a fundamental review on RNNs and long short term memory (LSTM) model. Then, provides a surveys of recent advances in different memory enhancements and learning techniques for capturing long term dependencies in RNNs.

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Hojjat Salehinejad. 2016-02-13. Learning Over Long Time Lags. https://arxiv.org/abs/1602.04335

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