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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

Python

Concepts

Deep Learning

Authors (2):

Anubhav Singh

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

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

Key emerging areas

In the previous sections, we saw how several companies have incorporated deep-learning-based techniques in order to improve their products. In this section, we will be discussing some of the areas that are currently being heavily researched, and we will see how impactful they are through the lens of web development.

Audio search

Suppose you are in a pub and you like the song being played by the live band. In your mind, you know that you have already heard that song before, but you are unable to recollect the name of the song. Wouldn't it be nice if you could have a system that would listen to the song and search for its name? Welcome to the world of audio search engines!

There are a number...

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Authors (2)

Anubhav Singh

Anubhav Singh, a web developer since before Bootstrap was launched, is an explorer of technologies, often pulling off crazy combinations of uncommon tech. An international rank holder in the Cyber Olympiad, he started off by developing his own social network and search engine as his first projects at the age of 15, which stood among the top 500 websites of India during their operational years. He's continuously developing software for the community in domains with roads less walked on. You can often catch him guiding students on how to approach ML or the web, or both together. He's also the founder of The Code Foundation, an AI-focused start-up. Anubhav is a Venkat Panchapakesan Memorial Scholarship awardee and an Intel Software Innovator.

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Sayak Paul

Sayak Paul is currently with PyImageSearch, where he applies deep learning to solve real-world problems in computer vision and bring solutions to edge devices. He is responsible for providing Q&A support to PyImageSearch readers. His areas of interest include computer vision, generative modeling, and more. Previously at DataCamp, Sayak developed projects and practice pools. Prior to DataCamp, Sayak worked at TCS Research and Innovation (TRDDC) on data privacy. There, he was a part of TCS's critically acclaimed GDPR solution called Crystal Ball. Outside of work, Sayak loves to write technical articles and speak at developer meetups and conferences.

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