9. Recurrent Neural Networks
Overview
In this chapter, you will learn how to handle real sequential data. You will extend your knowledge of artificial neural network (ANN) models and recurrent neural network (RNN) architecture for training sequential data. You will also learn how to build an RNN model with an LSTM layer for natural language processing.
By the end of this chapter, you will have gained hands-on experience of applying multiple LSTM layers to build RNNs for stock price predictions.
Introduction
Sequential data refers to datasets in which each data point is dependent on the previous ones. Think of it like a sentence, which is composed of a sequence of words that are related to each other. A verb will be linked to a subject ...
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