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

AI and the Internet of Things (IoT)

Some people say the Internet of things (IoT) will turn out to become the fourth Industrial Revolution. Let's wait a few years until the smoke clears and then let historians figure out what sort of revolution we went through.

In any case, connected objects have been changing our lives for at least the past two decades. Given all that we have seen in recent years, we can safely say that IoT has become disruptive.

Artificial intelligence has just begun its long journey through human intellect. New, incredible innovations await us. Understand cutting-edge machine learning and deep learning theory is only the beginning of your adventure. Take everything you see seriously and see how it can be incorporated into your projects.

Your mind must remain open to accept the many innovations that are yet to come. For example, conceptual representation learning (see previous chapters) adds the power of human concepts to neural networks.

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