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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 2. Transfer Learning FREE CHAPTER 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

App interface page design

A simple mobile app interface can be designed using Android Studio, and the relevant code will be generated as an XML file. As you can see in the following screenshot (Figure 7.3), the app consists of a simple movie review textbox, where the users can input their movie reviews, and, once done, press the SUBMIT button. Once the SUBMIT button is pressed, the review will be passed to the core app logic, which will process the movie review text and pass it to the TensorFlow optimized model for inference.

As a part of the inference, a sentiment score will be computed, which will be displayed on the mobile app and also showcased as a star rating:

Figure 7.3: Mobile app user interface page format

The XML file required to generate the previously mentioned view of the mobile app is illustrated as follows:

<?xml version="1.0" encoding="utf-8...
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