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

Setting Up a Cognitive NLP UI/CUI Chatbot

There are 300,000+ chatbots on Facebook alone. Adding another brick in that wall means next to nothing unless you give your chatbot a purpose and provide it with real content. Cognitive content represents the core goal of attracting more attention than your hundreds of thousands of competitors and SEO experts. We will put RBM-PCA chained algorithms to work in this chapter to bring a chatbot to another level. We will use the information provided by the RBM-PCA to design our dialog.

As you will discover in this first section, creating an agent with Dialogflow and beginning a dialog represents no effort at all. Google Dialogflow provides the intuitive features to get a chatbot running in no time. The Dialogflow tutorial can guide you to reach this simple goal in a few minutes. Understanding what an agent is, teaching it to ask a question, and providing an answer can be done by a 10-year-old child. I experimented...