Hands-On Python Deep Learning for the Web: Integrating neural network architectures to build smart web apps with Flask

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, youll 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, youll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). Youll 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, youll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, youll learn how to use Microsofts intelligent Emotion API, which can detect a persons emotions through a picture of their face. Youll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, youll use NLP to integrate a voice UX through Dialogflow on your web pages.

By the end of this book, youll 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 youre 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.