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Hands-On Python Deep Learning for the Web

You're reading from  Hands-On Python Deep Learning for the Web

Product type Book
Published in May 2020
Publisher Packt
ISBN-13 9781789956085
Pages 404 pages
Edition 1st Edition
Languages
Authors (2):
Anubhav Singh Anubhav Singh
Profile icon Anubhav Singh
Sayak Paul Sayak Paul
Profile icon Sayak Paul
View More author details

Table of Contents (19) Chapters

Preface Artificial Intelligence on the Web
Demystifying Artificial Intelligence and Fundamentals of Machine Learning 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

Summary

In this chapter, we took a detailed look at the term API. In Chapter 3, Creating Your First Deep Learning Web Application, we saw how an API can be written in Python using Flask and we saw how to use that API in a web application. We now know how an API is different from a language library and how important it is to make use of APIs. We became familiar with a variety of deep learning APIs that are offered by some top-notch organizations. 

As we progress through the upcoming chapters, we will see how to use these APIs to build powerful and intelligent web applications. We will start with the deep learning APIs provided by Google Cloud Platform in the next chapter. 

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