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Artificial Intelligence By Example

You're reading from   Artificial Intelligence By Example Acquire advanced AI, machine learning, and deep learning design skills

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781839211539
Length 578 pages
Edition 2nd Edition
Languages
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Author (1):
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Denis Rothman Denis Rothman
Author Profile Icon Denis Rothman
Denis Rothman
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Table of Contents (23) Chapters Close

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...

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