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)
Artificial Intelligence on the Web
Using Deep Learning for Web Development
Getting Started with Different Deep Learning APIs for Web Development
Deep Learning in Production (Intelligent Web Apps)
Appendix: Success Stories and Emerging Areas in Deep Learning on the Web

An introduction to chatbots

Chatbots are a segment of application of NLP that deals specifically with conversational interfaces. These interfaces can also expand their work to handle rudimentary commands and actions and are, in these cases, termed voice-based virtual assistants. Voice-based virtual assistants have been on the rise recently with the introduction of dedicated devices such as Google Home and Alexa by Amazon.

Chatbots can exist in multiple forms. They don't need to only be present as virtual assistants. You could talk to a chatbot in a game, where it tries to draw a storyline in a certain direction, or you could interact with the social chatbots that some companies use to reply to their customers on social media platforms, such as Twitter or Facebook. Chatbots can be considered a move over Interactive Voice Response (IVR) systems, with their added intelligence...