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

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

Chapter 17 – Genetic Algorithms in Hybrid Neural Networks

A cell contains 42 chromosomes. (Yes | No)
No. There are 46 chromosomes in a cell.
A genetic algorithm is deterministic, not random. (Yes | No)
No. A genetic algorithm is random, which makes it more efficient than many deterministic algorithms.
An evolutionary algorithm means that program code evolves. (Yes | No)
There is not a single clear-cut answer.

No. The program runs like any other program.

Yes. In some ways, when it is used to optimize a neural network in a hybrid neural network, it changes the parameters of the system. Also, it is possible to use a genetic algorithm to add or take layers out of a CNN, for example.
It is best for a child to have the same genes as one of the parents even after many generations. (Yes | No)
No. Certainly not! We need diverse genes to remain a fit genetic group.
Diversity...