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 Intelligence – Evaluation Functions and Numerical Convergence

Two issues appear when a reward matrix (R)-driven MDP produces results. These issues can be summed up in two principles.

Principle 1: AI algorithms often surpass humans in classification, prediction, and decision-making areas.

The key executive function of human intelligence, decision-making, relies on the ability to evaluate a situation. No decision can be made without measuring the pros and cons and factoring the parameters.

Humanity takes great pride in its ability to evaluate. However, in many cases, a machine can do better. Chess represents our pride in our thinking ability. A chessboard is often present in movies to symbolize human intelligence.

Today, not a single chess player can beat the best chess engines. One of the extraordinary core capabilities of a chess engine is the evaluation function; it takes many parameters into account more precisely than humans.

Principle...