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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
Author Profile Icon Anubhav Singh
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 Cloud Vision API in Python

Computer vision is the field of making computers understand images and make sense of them. Common computer vision tasks include image classification, image detection, image segmentation, and so on. As discussed in earlier chapters, the field of computer vision has been heavily affected by the effectiveness of deep learning in achieving human-level (and sometimes even better) performance.

The Cloud Vision API provides us with a lot of utilities for performing computer vision tasks. Cloud Vision allows us to use the pre-trained models as well as build our own custom production-ready models that cater to our needs (such as AutoML Vision Beta). Let's now briefly look at the features that are offered by the Cloud Vision API:

  • Label detection
  • Optical character recognition
  • Handwriting recognition
  • Landmark detection
  • Object localization
  • Image search...
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