Use the power of deep learning with Python to build and deploy
intelligent web applications
Key Features
- 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
Book 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.
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
Who this book is 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.
