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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

Product type Paperback

Published in May 2020

Publisher Packt

ISBN-13 9781789956085

Length 404 pages

Edition 1st Edition

Languages

Python

Tools

Django

Concepts

Deep Learning

Authors (2):

Sayak Paul

Anubhav Singh

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Table of Contents (19) Chapters

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

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

Deep Learning in Production (Intelligent Web Apps)

This section provides different case studies showing how to develop and deploy deep learning-web applications (using deep learning APIs) along with showing measures to secure web applications using deep learning.

This section comprises the following chapters:

Chapter 9, A General Production Framework for Deep Learning-Enabled Websites
Chapter 10, Securing Web Apps with Deep Learning
Chapter 11, DIY – A Web DL Production Environment
Chapter 12, Creating an E2E Web App Using DL APIs and Customer Support Chatbot

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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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Paul

Andy Paul is an accomplished virtualization architect, instructor, and speaker. He has designed and delivered virtualization projects for Fortune 500 companies, public and private health care organizations, and higher education institutions. He has also served as a lead technical trainer, adjunct professor, and guest speaker for multiple organizations. He is a leading industry consultant. He currently manages multiple delivery teams, oversees project architecture, assists large enterprise customers across various industries, and is a global VDI subject matter expert. Visit his blog at www.paultechnologies.com/blog.

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