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

Questions

A cell contains 42 chromosomes. (Yes | No)
A genetic algorithm is deterministic, not random. (Yes | No)
An evolutionary algorithm means that the program code evolves. (Yes | No)
It is best for a child to have the same genes as one of the parents even after many generations. (Yes | No)
Diversity makes the gene sets weaker. (Yes | No)
Building a neural network only takes a few lines, and the architecture always works. (Yes | No)
Building a neural network with a genetic algorithm can help optimize the architecture of the layers. (Yes | No)
Hybrid neural networks are useless since deep learning will constantly progress. (Yes | No)
Would you trust a genetic algorithm to make decisions for you? (Yes | No)
Would you trust a hybrid neural network to optimize the architecture of your network? (Yes | No)