Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

©  Navin Kumar Manaswi 2018

Navin Kumar ManaswiDeep Learning with Applications Using Python https://doi.org/10.1007/978-1-4842-3516-4_9

9. RNN and LSTM

Navin Kumar Manaswi¹ 

(1)

Bangalore, Karnataka, India

 

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.

The Concept of RNNs

A recurrent neural network is a type of artificial neural network that is best suited to recognizing patterns in sequences of data, such as text, video, speech, language, genomes, and time-series data. An RNN is ...