Book Image

Hands-On Python Deep Learning for the Web

By : Anubhav Singh, Sayak Paul
Book Image

Hands-On Python Deep Learning for the Web

By: Anubhav Singh, Sayak Paul

Overview of this book

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.
Table of Contents (19 chapters)
1
Artificial Intelligence on the Web
3
Using Deep Learning for Web Development
7
Getting Started with Different Deep Learning APIs for Web Development
12
Deep Learning in Production (Intelligent Web Apps)
Appendix: Success Stories and Emerging Areas in Deep Learning on the Web

Using reCAPTCHA in web applications with Python

To add the reCAPTCHA to the website, we first need to obtain the API keys from the Google reCAPTCHA console:

  1. First, log in to your Google account and go to https://www.google.com/recaptcha.
  2. Next, click on Admin Console at the top-right. 
  3. Add your site to the console by following the steps shown on your screen. If you're testing on your local system, you'll have to specify 127.0.0.1 as one of the URLs.
  4. Obtain the API keys for your domain.

    The screen that you get your domain's API keys on should look similar to the following screenshot:

  1. Now, add the secret key to the settings.py file of the web app, as shown: 
GOOGLE_RECAPTCHA_SECRET_KEY = '6Lfi6ncUAAAAANJYkMC66skocDgA1REblmx0-3B2'
  1. Next, we need to add the scripts to be loaded to the add.html template. We'll add it to the billboard...