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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

Mobile App for Movie Review Sentiment Analysis

In this modern age, sending data to AI-based applications in the cloud for inference is commonplace. For instance, a user can send an image taken on a mobile phone to the Amazon Rekognition API, and the service can tag the various objects, people, text, scenes, and so on, present in the image. The advantage of employing the service of an AI-based application that's hosted in the cloud is its ease of use. The mobile app just needs to make an HTTPS request to the AI-based service, along with the image, and, within a few seconds, the service will provide the inference results. A few of these machine learning as a service providers are as follows:

  • Amazon Rekognition
  • Amazon Polly
  • Amazon Lex
  • Microsoft Azure Cognitive Services
  • IBM Watson
  • Google Cloud Vision

The following diagram, Figure 7.1, illustrates the architecture of this kind...

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