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Hands-On Python Deep Learning for the Web

You're reading from   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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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781789956085
Length 404 pages
Edition 1st Edition
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Authors (2):
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Sayak Paul Sayak Paul
Author Profile Icon Sayak Paul
Sayak Paul
Anubhav Singh Anubhav Singh
Author Profile Icon Anubhav Singh
Anubhav Singh
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Table of Contents (19) Chapters Close

Preface Artificial Intelligence on the Web
Demystifying Artificial Intelligence and Fundamentals of Machine Learning FREE CHAPTER Using Deep Learning for Web Development
Getting Started with Deep Learning Using Python Creating Your First Deep Learning Web Application Getting Started with TensorFlow.js Getting Started with Different Deep Learning APIs for Web Development
Deep Learning through APIs Deep Learning on Google Cloud Platform Using Python DL on AWS Using Python: Object Detection and Home Automation Deep Learning on Microsoft Azure Using Python Deep Learning in Production (Intelligent Web Apps)
A General Production Framework for Deep Learning-Enabled Websites Securing Web Apps with Deep Learning DIY - A Web DL Production Environment Creating an E2E Web App Using DL APIs and Customer Support Chatbot Other Books You May Enjoy Appendix: Success Stories and Emerging Areas in Deep Learning on the Web

Using the Dialogflow API in Python

Before we start to learn how to use the Dialogflow API in Python, let's understand what Dialogflow is all about.

Dialogflow (formerly known as api.ai) provides a suite of utilities for building natural and rich conversational interfaces, such as voice assistants and chatbots. It is powered by deep learning and natural language processing and is used by a large number of companies. It seamlessly integrates with websites, mobile applications, and many popular platforms, such as Facebook Messenger, Amazon Alexa, and so on. Dialogflow provides us with three major components for building a conversational user interface:

  • The best practices and processes that can easily be applied to any conversational user interface
  • Functionalities to add any custom logic that might be required for building a conversational user interface
  • Facilities to train...
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