Abstract
This chapter will discuss the concepts of recurrent neural networks (RNNs) and their modified version, long short-term memory (LSTM). LSTM is mainly used for sequence prediction. You will learn about the varieties of sequence prediction and then learn how to do time-series forecasting with the help of the LSTM model.
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© 2018 Navin Kumar Manaswi
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Manaswi, N.K. (2018). RNN and LSTM. In: Deep Learning with Applications Using Python . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3516-4_9
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DOI: https://doi.org/10.1007/978-1-4842-3516-4_9
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3515-7
Online ISBN: 978-1-4842-3516-4
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Keywords
- Long Short-term Memory (LSTM)
- Recurrent Neural Networks (RNNs)
- LSTM Model
- Sequence Prediction
- Time-series Forecasting
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.