Chapter 9. Sequential Modeling with Recurrent Neural Networks

Note

Learning Objectives

By the end of this chapter, you will be able to:

• Explain sequential memory and sequential modeling

• Explain Recurrent Neural Networks (RNNs)

• Describe the vanishing gradient problem

• Implement Long Short-Term Memory (LSTM) architectures

• Apply RNNs on a stock market dataset

Note

In this chapter, we will learn about sequential modeling with RNNs using the stock price data of Apple and Microsoft. We will understand the vanishing gradient problem and, finally, we will implement the concept of LSTM.