You're reading from Artificial Intelligence By Example Acquire advanced AI, machine learning, and deep learning design skills

Product type Paperback

Published in Feb 2020

Publisher Packt

ISBN-13 9781839211539

Length 578 pages

Edition 2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Author (1):

Denis Rothman

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Table of Contents (23) Chapters

Preface

1. Getting Started with Next-Generation Artificial Intelligence through Reinforcement Learning

2. Building a Reward Matrix – Designing Your Datasets FREE CHAPTER

3. Machine Intelligence – Evaluation Functions and Numerical Convergence

4. Optimizing Your Solutions with K-Means Clustering

5. How to Use Decision Trees to Enhance K-Means Clustering

6. Innovating AI with Google Translate

7. Optimizing Blockchains with Naive Bayes

8. Solving the XOR Problem with a Feedforward Neural Network

9. Abstract Image Classification with Convolutional Neural Networks (CNNs)

10. Conceptual Representation Learning

11. Combining Reinforcement Learning and Deep Learning

12. AI and the Internet of Things (IoT)

13. Visualizing Networks with TensorFlow 2.x and TensorBoard

14. Preparing the Input of Chatbots with Restricted Boltzmann Machines (RBMs) and Principal Component Analysis (PCA)

15. Setting Up a Cognitive NLP UI/CUI Chatbot

16. Improving the Emotional Intelligence Deficiencies of Chatbots

17. Genetic Algorithms in Hybrid Neural Networks

18. Neuromorphic Computing

19. Quantum Computing

20. Answers to the Questions

21. Other Books You May Enjoy

22. Index

Machine learning agents

An NLP chatbot cannot function without machine learning for text recognition, utterances, sentences, speech, entities, intents, and many other aspects of a dialog.

In this section, we will explore the following:

Speech-to-text
Text-to-speech
Spelling correction

Let's see how we can apply machine learning in each of these contexts.

Using machine learning in a chatbot

Generally, when we hear of machine learning in a chatbot, we think of a machine learning program running during a dialog as a response.

In this section, we will focus on how machine learning is used to improve a chatbot and to make it work.

Speech-to-text

Without a speech-to-text function, there is no way you can implement a chatbot or any speech application on a smart speaker such as Google Home or Amazon Echo. Smart speakers are going to play an increasing part in our lives in the years to come.

Click on the settings button next...