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Hands-On Python Deep Learning for the Web
Hands-On Python Deep Learning for the Web

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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Profile Icon Anubhav Singh Profile Icon Paul
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (2 Ratings)
Paperback May 2020 404 pages 1st Edition
eBook
$29.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Anubhav Singh Profile Icon Paul
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (2 Ratings)
Paperback May 2020 404 pages 1st Edition
eBook
$29.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$29.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Create next-generation intelligent web applications using Python libraries such as Flask and Django
  • Implement deep learning algorithms and techniques for performing smart web automation
  • Integrate neural network architectures to create powerful full-stack web applications

Description

When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python. Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages. By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices.

Who is this book for?

This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you’re a web developer who wants to implement smart techniques in the browser to make it more interactive. Working knowledge of the Python programming language and basic machine learning techniques will be beneficial.

What you will learn

  • Explore deep learning models and implement them in your browser
  • Design a smart web-based client using Django and Flask
  • Work with different Python-based APIs for performing deep learning tasks
  • Implement popular neural network models with TensorFlow.js
  • Design and build deep web services on the cloud using deep learning
  • Get familiar with the standard workflow of taking deep learning models into production

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 15, 2020
Length: 404 pages
Edition : 1st
Language : English
ISBN-13 : 9781789956085
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Product Details

Publication date : May 15, 2020
Length: 404 pages
Edition : 1st
Language : English
ISBN-13 : 9781789956085
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


Stars icon
Total $ 131.97
Hands-On Python Deep Learning for the Web
$43.99
Hands-On Mathematics for Deep Learning
$43.99
Deep Learning for Beginners
$43.99
Total $ 131.97 Stars icon
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Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
(2 Ratings)
5 star 50%
4 star 50%
3 star 0%
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1 star 0%
Kaushik Jun 23, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very nice book, it contains a lot of knowledge that I ever wanted.Love at first sight for me🤭🤭💓
Amazon Verified review Amazon
Rebeka Mukherjee Jul 01, 2020
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Disclaimer: I was sent a copy by the publisher and was asked to review this book.Pros: I love that anybody with basic coding skills and an interest in exploring deep learning and web development can work through the projects in this book. The book begins with a nice refresher of introductory deep learning concepts and then moves on to the implementation of web-based deep learning projects that are easy to follow. I also like the variety of the projects in this book.Cons: Since this is a hand-on book and not a theory book, the mathematics behind deep learning concepts is kept to a minimum. If one wants deeper knowledge of deep learning, they have to look elsewhere. I also feel this book is a bit more focused on the web development part than the deep learning part.
Amazon Verified review Amazon
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