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Intelligent Projects Using Python

You're reading from   Intelligent Projects Using Python 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788996921
Length 342 pages
Edition 1st Edition
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Author (1):
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Santanu Pattanayak Santanu Pattanayak
Author Profile Icon Santanu Pattanayak
Santanu Pattanayak
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Table of Contents (12) Chapters Close

Preface 1. Foundations of Artificial Intelligence Based Systems FREE CHAPTER 2. Transfer Learning 3. Neural Machine Translation 4. Style Transfer in Fashion Industry using GANs 5. Video Captioning Application 6. The Intelligent Recommender System 7. Mobile App for Movie Review Sentiment Analysis 8. Conversational AI Chatbots for Customer Service 9. Autonomous Self-Driving Car Through Reinforcement Learning 10. CAPTCHA from a Deep-Learning Perspective 11. Other Books You May Enjoy

Conversational AI Chatbots for Customer Service

Conversational chatbots have produced a lot of hype recently because of their role in enhancing customer experience. Modern businesses have started using the capabilities of chatbots in several different processes. Because of the wide acceptance of conversational AIs, the tedious task of filling out forms or sending information over the internet has become much more streamlined. One of the desired qualities of a conversational chatbot is that it should be able to respond to a user request in the current context. The players in a conversational chatbot system are the user and the bot respectively. There are many advantages of using conversational chatbots, as shown in the following list:

  • Personalized assistance: Creating a personalized experience for all customers might be a tedious task, but not doing so can make a business suffer...
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