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

Understanding innovation and disruption in AI

The first question we must ask ourselves when starting a project such as a translation solution is to find out where we fit in. Is what we are going to do an invention or an innovation? Is our work disruptive or revolutionary? We will explore these concepts in this chapter to understand the broad pragmatic picture before going any further.

Is AI disruptive?

The word "disruptive" is more often than not associated with artificial intelligence. Media hype tells us that AI robots will soon have replaced humans around the world. Although media hype made it much easier to obtain AI budgets, we need to know where we stand if we want to implement an AI solution. If we want to innovate, we need to find the cutting edge and build new ideas from there.

Why not just plunge into the tools and see what happens? Is that a good idea or a risky one? Unlike corporations with huge budgets, a single human has limited resources. If you...