9. Sequential Modeling with Recurrent Neural Networks
Overview
This chapter will introduce you to sequential modeling—creating models to predict the next value or series of values in a sequence. By the end of this chapter, you will be able to build sequential models, explain Recurrent Neural Networks (RNNs), describe the vanishing gradient problem, and implement Long Short-Term Memory (LSTM) architectures. You will apply RNNs with LSTM architectures to predict the value of the future stock price value of Alphabet and Amazon.
