The Deep Learning with PyTorch Workshop

6. Analyzing the Sequence of Data with RNNs

Overview

This chapter expands on the concept of recurrent neural networks. You will learn about the learning process of Recurrent Neural Networks (RNNs) and how they store memory. The chapter will introduce the Long Short-Term Memory (LSTM) network architecture, which uses short- and long-term memory to solve data problems using sequences of data. By the end of this chapter, you will have a firm grasp of RNNs and of how to solve Natural Language Processing (NLP) data problems.

Introduction

In the previous chapters, different network architectures were explained – from traditional ANNs, which can solve both classification and regression problems, to CNNs, which are mainly used to solve computer ...