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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

Summary

In this chapter, we went over the practical aspects of transfer learning, to solve a real-world problem in the healthcare sector. The readers are expected to further build upon these concepts by trying to customize these examples wherever possible.

The accuracy and the kappa score that we achieved through both the classification and the regression-based neural networks are good enough for production implementation. In Chapter 3, Neural Machine Translation, we will work on implementing intelligent machine translation systems, which is a much more advanced topic than what was presented in this chapter. I look forward to your participation.

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