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Artificial Intelligence with Python Cookbook

You're reading from   Artificial Intelligence with Python Cookbook Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781789133967
Length 468 pages
Edition 1st Edition
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Authors (2):
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Ritesh Kumar Ritesh Kumar
Author Profile Icon Ritesh Kumar
Ritesh Kumar
Ben Auffarth Ben Auffarth
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Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Artificial Intelligence in Python 2. Advanced Topics in Supervised Machine Learning FREE CHAPTER 3. Patterns, Outliers, and Recommendations 4. Probabilistic Modeling 5. Heuristic Search Techniques and Logical Inference 6. Deep Reinforcement Learning 7. Advanced Image Applications 8. Working with Moving Images 9. Deep Learning in Audio and Speech 10. Natural Language Processing 11. Artificial Intelligence in Production 12. Other Books You May Enjoy

Chatting to users

In 1966, Joseph Weizenbaum published an article about his chatbot ELIZA, called ELIZA—a computer program for the study of natural language communication between man and machine. Created with a sense of humor to show the limitations of technology, the chatbot employed simplistic rules and vague, open-ended questions as a way of giving an impression of empathic understanding in the conversation, and was in an ironic twist often seen as a milestone of artificial intelligence. The field has moved on, and today, AI assistants are around us: you might have an Alexa, a Google Echo, or any of the other commercial home assistants in the market.

In this recipe, we'll be building an AI assistant. The difficulty with this is that there are an infinite amount of ways for people to express themselves and that it is simply impossible to anticipate everything your users might say. In this recipe, we'll be training a model to infer what they want and we'll respond...

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