Artificial Vision and Language Processing for Robotics

Chapter 4

Neural Networks with NLP

Learning Objectives

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

• Explain what a Recurrent Neural Network is
• Design and build a Recurrent Neural Network
• Evaluate non-numeric data
• Evaluate the different state-of-the-art language models with RNNs
• Predict a value with a temporal sequence of data

This chapter covers various aspects of RNNs. it deals with explaining, designing, and building the various RNN models.

Introduction

As mentioned in the previous chapter, Natural Language Processing (NLP) is an area of Artificial Intelligence (AI) that covers how computers can understand and manipulate human language in order to perform useful tasks. Now, with the growth of deep learning techniques, deep NLP ...