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Google Cloud AI Services Quick Start Guide

You're reading from Google Cloud AI Services Quick Start Guide Build intelligent applications with Google Cloud AI services

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781788626613

Length 234 pages

Edition 1st Edition

Languages

JavaScript

Tools

Google Cloud Platform

Concepts

Artificial Intelligence

Author (1):

Ravulavaru

View More author details

Table of Contents (14) Chapters

Title Page

Dedication

Packt Upsell

Contributors

Preface

1. Introducing Google Cloud AI Services FREE CHAPTER

2. Setting Up a Smart Forum App

3. Cloud Vision API

4. Video Intelligence API

5. Cloud Speech API

6. Cloud Natural Language

7. Cloud Translation

1. Other Books You May Enjoy

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Index

Exploring Video Intelligence API

Please refer to the Setting up a Rest Client Section from Chapter 3, Cloud Vision API to set up a REST API client, before you continue. Now that we have all the required setup done, let's get started with exploring the API. In this section, we are going to explore only the label detection feature using REST API. You can explore other features by yourself in a similar fashion.

Label detection

We are going to start off with label detection. In the project folder that you downloaded along with this book (or you can download the same from https://github.com/PacktPublishing/Getting-Started-with-Google-Cloud-AI-Services) you will find a folder named Chapter 4 ; inside that folder you will find another folder named API, and inside that folder a folder named Videos. Inside the Videos folder, I have placed all the sample image files that I have used for testing, for your reference. You are free to use any videos. In the API\Videos folder, refer to the video called Label_Detection_Pexels_Video_699572008...

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Authors (1)

Ravulavaru

Ravulavaru

Arvind Ravulavaru is a platform architect at Ubiconn IoT Solutions, with over 9 years of experience in software development and 2 years in hardware & product development. For the last 5 years, he has been working extensively on JavaScript, both on the server side and the client side. And for the last couple of years in IoT, building a platform for rapidly developing IoT solutions, named The IoT Suitcase. Prior to that, Arvind worked on big data, cloud computing, and orchestration.

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