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

Getting started with Nengo

In a nutshell, Nengo builds brains, not mental representations, as in classical machine learning and deep learning.

Nengo stands for Neural Engineering Object. It has both scripting capability with Nengo and a graphical capacity with Nengo GUI. We will be using NEF, which is Nengo's Neural Engineering Framework (NEF).

Nengo was created by the Centre for Theoretical Neuroscience at the University of Waterloo (Ontario, Canada). Chris Eliasmith has played an important role in this project.

We have explored many ways to approach cognitive modeling in the previous chapters. Nengo uses an NEF to implement an SPA.

A semantic pointer is a neural representation in a biological system that carries structures that will lead to higher-level cognitive representations.

The term pointer refers to pointers as we know in C++, for example, because they can access data they do not contain.

The term semantic refers to the fact...