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

Data logging

In Chapter 15, Setting Up a Cognitive NLP UI/CUI Chatbot, we took the context of a dialog into account using follow-up intents. However, even follow-up intents will not provide solutions to unexpected answers on the part of a user.

To enhance a dialog, data logging will create a long-term memory for the chatbot by remembering the key aspects of a dialog.

A user and a Dialogflow designer have to agree to the terms of the Google Dialogflow data logging features, as described on this page: https://cloud.google.com/dialogflow/docs/data-logging.

Privacy is a serious matter. However, you will notice that when you use a search engine for a given product, you end up viewing or receiving ads related to the search. This is data logging.

Making this decision depends on your goal and target audience. Suppose the user accepts the terms of the agreement. Now, data logging is activated. Then, data logging will provide the chatbot with long-term memory.

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