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

A thinking quantum computer

A thinking quantum computer is not a reproduction of brain function, but rather a representation of the mind of a person. Neuromorphic computing is one approach that represents our neurons and how brain uses spiking neurons to think. Quantum computing can provide an exciting way to imitate our mind's capacity with mathematical algorithms that work with qubits, not neurons. We've just begun to explore the potential of these approaches, which in fact will most probably merge into an ensemble of hybrid software and hardware solutions.

The endeavor of the quantum MindX experiment is to build a personal mind named MindX, with memories of past events, conversations, chats, and photographs stored on a classical computer. The program will then transform subsets of the data into quantum circuits to see what happens, how our quantum circuit behaves when left to produce millions of possibilities.

This section describes how to build MindX, a thinking...