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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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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

Appendix: Success Stories and Emerging Areas in Deep Learning on the Web

It is often important to know what others have been doing with any technology to understand the scale of its applicability and the return of investment that it can promise. This chapter illustrates some of the most famous websites whose product was based heavily upon leveraging the power of deep learning. This chapter also discusses some key research areas in web development that can be enhanced using deep learning. This chapter will help you to delve even deeper into the fusion of web technologies and deep learning and will motivate you to come up with your own intelligent web applications.

The chapter consists of two main sections:

  • Success stories of organizations such as Quora and Duolingo that have been applying deep learning in their products
  • Some key emerging areas in deep learning, such as ...
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