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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

Some widely known deep learning APIs

In this section, we are going to take a look at some of the most widely used APIs, which are deployed for a variety of deep learning tasks, such as image recognition, sentiment detection from an image, sentiment classification, speech-to-text conversion, and so on. To limit our discussion in this section, we will divide deep learning tasks into two broad groups:

  • Computer vision and image processing
  • Natural language processing

We will then list some of the common tasks related to each of these groups and discuss the APIs that can be used to accomplish those tasks.

Let's now quickly list some common deep learning tasks and assign them to their categories:

  • Computer vision and image processing:
    • Image search: Just like Google Search, image search engines allow us to search for images similar to a particular image.
    • Image detection:...
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