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Hands-On Python Deep Learning for the Web

You're reading from   Hands-On Python Deep Learning for the Web Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781789956085
Length 404 pages
Edition 1st Edition
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Authors (2):
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Sayak Paul Sayak Paul
Author Profile Icon Sayak Paul
Sayak Paul
Anubhav Singh Anubhav Singh
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Anubhav Singh
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Toc

Table of Contents (19) Chapters Close

Preface Artificial Intelligence on the Web
Demystifying Artificial Intelligence and Fundamentals of Machine Learning FREE CHAPTER Using Deep Learning for Web Development
Getting Started with Deep Learning Using Python Creating Your First Deep Learning Web Application Getting Started with TensorFlow.js Getting Started with Different Deep Learning APIs for Web Development
Deep Learning through APIs Deep Learning on Google Cloud Platform Using Python DL on AWS Using Python: Object Detection and Home Automation Deep Learning on Microsoft Azure Using Python Deep Learning in Production (Intelligent Web Apps)
A General Production Framework for Deep Learning-Enabled Websites Securing Web Apps with Deep Learning DIY - A Web DL Production Environment Creating an E2E Web App Using DL APIs and Customer Support Chatbot Other Books You May Enjoy Appendix: Success Stories and Emerging Areas in Deep Learning on the Web

Using the Rekognition API in Python

Amazon Rekognition is a deep-learning-enabled visual-analysis service that can help you search, verify, and analyze billions of images seamlessly. Let's first review the Recognition API briefly and then we will jump straight into using it in Python. Let's first go to the home page of the Rekognition API at https://console.aws.amazon.com/rekognition/home. We have already seen Rekognition's home page in one of the earlier sections of this chapter.

As you might have already noticed from the navigation bar, the Rekognition API has several things to offer:

  • Object and scene detection: This lets you automatically label objects, labels, and scenes from a given image (along with confidence scores).
  • Image moderation: This allows you to detect explicit or suggestive adult content in images, along with confidence scores.
  • Celebrity recognition...
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