Google Cloud AI Services Quick Start Guide E-Book

Arvind Ravulavaru

• Herausgeber: Packt Publishing
• Kategorie: Wissenschaft und neue Technologien
• Sprache: Englisch

Seitenzahl: 188

Veröffentlichungsjahr: 2018

Beschreibung

Leverage the power of various Google Cloud AI Services by building a smart web application using MEAN Stack

Key Features

• Start working with the Google Cloud Platform and the AI services it offers
• Build smart web applications by combining the power of Google Cloud AI services and the MEAN stack
• Build a web-based dashboard of smart applications that perform language processing, translation, and computer vision on the cloud

Book Description

Cognitive services are the new way of adding intelligence to applications and services. Now we can use Artificial Intelligence as a service that can be consumed by any application or other service, to add smartness and make the end result more practical and useful.

Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API.  Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications.

This book will help you build a Smart Exchange, a forum application that will let you upload videos, images and perform text to speech conversions and translation services. You will use the power of Google Cloud AI Services to make our simple forum application smart by validating the images, videos, and text provided by users to Google Cloud AI Services and make sure the content which is uploaded follows the forum standards, without a human curator involvement.

You will learn how to work with the Vision API, Video Intelligence API, Speech Recognition API, Cloud Language Process, and Cloud Translation API services to make your application smarter.

By the end of this book, you will have a strong understanding of working with Google Cloud AI Services, and be well on the way to building smarter applications.

What you will learn

• Understand Google Cloud Platform and its Cloud AI services
• Explore the Google ML Services
• Work with an Angular 5 MEAN stack application
• Integrate Vision API, Video Intelligence API for computer vision
• Be ready for conversational experiences with the Speech Recognition API, Cloud Language Process and Cloud Translation API services
• Build a smart web application that uses the power of Google Cloud AI services to make apps smarter

Who this book is for

This book is ideal for data professionals and web developers who want to use the power of Google Cloud AI services in their projects, without the going through the pain of mastering machine learning for images, videos and text. Some familiarity with the Google Cloud Platform will be helpful.

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.

Leseprobe

Google Cloud AI Services Quick Start Guide

Build intelligent applications with Google Cloud AI services

Arvind Ravulavaru

BIRMINGHAM - MUMBAI

Google Cloud AI Services Quick Start Guide

Copyright © 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Amey VarangaonkarAcquisition Editor: Reshma RamanContent Development Editor: Aditi GourTechnical Editor: Jinesh TopiwalaCopy Editor: Safis EditingProject Coordinator: Hardik BhindeProofreader: Safis EditingIndexer: Tejal Daruwale SoniGraphics: Jason MonteiroProduction Coordinator: Aparna Bhagat

First published: May 2018

Production reference: 1280518

Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK.

ISBN 978-1-78862-661-3

www.packtpub.com

                   

                                                                                            

                                                                                            

                                                                        

                                                                                            

                                                                                            

                                                                                            

                                                     

                                                                                            

                                                                                            

                                                                                            

                                      

                                                                                            

                   

                                                                           

                                                                                            

To the end of Human race, powered by Artificial Intelligence.

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Contributors

About the author

Arvind Ravulavaru is a platform architect at Ubiconn IoT Solutions, with over 9 years of experience in software development and 2 years in hardware and 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 he has working 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.

About the reviewer

Chirag Nayyar helps organizations initiate their digital transformation using the public cloud. He has been actively working on cloud platforms since 2013, providing consultancy to many organizations ranging from SMB to Enterprises. He holds a wide range of certifications from all major public cloud platforms. He also runs meetups and is a regular speaker at various cloud events. He has also reviewed Hands-On Machine Learning on Google Cloud Platform and Google Cloud Platform Cookbook, by Packt.

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Table of Contents

Title Page

Copyright and Credits

Google Cloud AI Services Quick Start Guide

Dedication

Packt Upsell

Why subscribe?

PacktPub.com

Contributors

About the author

About the reviewer

Packt is searching for authors like you

Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Code in Action

Conventions used

Get in touch

Reviews

Introducing Google Cloud AI Services

Google Cloud Platform

Compute

Big data

Identity and security

Internet of Things (IoT)

Storage and databases

Data transfer

API platform and ecosystem

Management tools

Networking

Cloud AI

Developer tools

Cognition on cloud

Clients

Data types

Cognitive services

Why Cognition on Cloud?

How do machines achieve intelligence?

Cognitive accuracy and machine learning

Google Cloud AI

Cloud AutoML Alpha

Cloud TPU Beta

Cloud Machine Learning Engine

Cloud Job Discovery Private Beta

Dialogflow Enterprise Edition Beta

Cloud Natural Language

Cloud Speech API

Cloud Translation API

Cloud Vision API

Cloud Video Intelligence

Summary

Setting Up a Smart Forum App

Technical requirements

SmartExchange architecture

SmartExchange demo

Architecture overview

Database design

APIs 

Setting up the project

Installing Git

Installing Node.js

Installing MongoDB (optional)

Angular CLI

Yarn (optional)

Heroku Toolbelt (optional)

Text editors  (optional)

Setting up mLab

Test connection

Robo 3T connection (optional)

Setting up an authentication 

Creating the project

Setting up API key

Setting up service account key

Setting up code

Downloading base code 

App folder structure

Server code walk-through

Express and Mongoose

Routes

Security

Mongoose models

Controllers

Client code walk-through

Routing

Authentication

Services

Components

Running the app

Deploying to Heroku

Summary

Cloud Vision API

Cloud Vision API

Pricing

Enabling the API

Setting up a REST client

Setting up cURL

Setting up Postman

Exploring the Vision API

Face detection

Request structure

Constructing the request

Analyzing the response

Label detection

Request structure

Constructing the request

Analyzing the response

Safe search detection

Request structure

Constructing the request

Analyzing the response

API reference

Integrating Cloud Vision API with SmartExchange

Solution design

Setting up Cloudinary

Pricing

API reference

Signing up with Cloudinary

Managing the API key

Setting up the server code

Installing dependencies

Defining routes

Updating the message model

Defining the controller

Setting up the client code

Setting up the ng-bootstrap

Modifying the view thread component

Setting up the upload image modal component

Completing the view thread component

Creating  the Vision API service

Managing the helpers

Testing the app

Deploying to Heroku

Summary

Video Intelligence API

Video Intelligence API

Pricing

Enabling API

Exploring Video Intelligence API

Label detection

Label detection – request structure

Label detection – constructing the request

Label detection – analyze response

Operation status – request structure

Operation status – constructing the request

Operation status – analyze response

API reference

Integrating Video Intelligence API with SmartExchange

Solution design

Get a copy of code from Chapter 3

Setting up server code

Installing dependencies

Defining routes

Updating the message model

Updating the controller

Setting up client code

Setting up recordrtc

Modifying the view thread component

Setting up the upload video modal component

Completing the view thread component

Creating the video API service

Testing the app

Deploying to Heroku

Summary

Cloud Speech API

Cloud Speech API

Pricing

Enabling the API

Exploring the Cloud Speech API

Synchronous speech recognition

Asynchronous speech recognition

Streaming speech recognition

Audio to text using synchronous speech recognition

Request structure

Constructing the request

Analyse response

API reference

Integrating Cloud Speech API with SmartExchange

Solution design

Setting up the server code

Installing dependencies

Defining routes

Updating the message model

Updating the controller

Setting up the client code

Modifying the view thread component

Setting up the upload audio modal component

Completing the view thread component

Creating the audio API service

Testing the app

Deploying to Heroku

Summary

Cloud Natural Language

Cloud Natural Language API

Pricing

Enabling the API

Exploring the Cloud Natural Language API

Sentiment analysis

Request structure

Constructing the request

Analyse response

Entity analysis

Request structure

Constructing the request

Analyse response

API reference

Integrating the Natural Language API with SmartExchange

Solution design

Setting up the server code

Installing dependencies

Defining routes

Updating the message model

Updating the controller

Setting up the client code

Updating the POST API URL

Updating the view thread component

Testing the app

Deploying to Heroku

Summary

Cloud Translation

Cloud Translation API

Pricing

Enabling API

Exploring Cloud Translation API

Discovering supporting languages

Request structure

Constructing the request

Analysing response

Text translation

Request structure

Constructing the request

Analyse response

Integrating Translate API with SmartExchange

Solution design

Setting up the server code

Installing dependencies

Defining routes

Updating the message model

Updating the controller

Setting up the client code

Modifying the view thread component

Setting up the translate message modal component

Creating the Audio API service

Testing the app

Deploying to Heroku

Summary

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Preface

Cognition as a Service (CAAS) is the new kid on the block. No longer do engineers need to spend time building intelligence on top of their applications. Now, intelligence is borrowed from various services.

Welcome to Google Cloud AI Services Quick Start Guide, where we will explore the powerful Google Cloud AI services via a project-based approach. We will build a forum application named SmartExchange, similar to Discourse or stack overflow, where users start a discussion thread and other users comment on it. To administer the content that goes into the SmartExchange application, we will use Google Cloud AI services such as the Cloud Vision API and Video Intelligence API.

Who this book is for

This book is ideal for any reader who would like to use the power of Google Cloud AI services in their projects without going through the pain of mastering machine learning for images, videos, and text. Any reader who would like to get acquainted with Cloud AI services provided by Google will also find this book interesting.

Readers need to have prior knowledge of working with REST API services and should have an idea of working with the MEAN application stack. Basic knowledge of TypeScript is also essential for successfully completing this book.

What this book covers

Chapter 1, Introducing Google Cloud AI Services, introduces you to the world of Google Cloud Platform (GCP). You will understand various services provided by GCP, and we will deep dive into all the services provided by Google Cloud AI services. You will understand the basics of machine learning and AI in this chapter and how they tie in with Cognition as a Service (CAAS).

Chapter 2, Setting Up a Smart Forum App, walks you through the architecture and design of the application (SmartExchange) we will build. We will understand the database schema and the application stack. We will then download the base application and set it up. We will also set up the required keys for accessing Google Cloud AI services.

Chapter 3, Cloud Vision API, explains how to work with the Cloud Vision API over REST API. We will explore various features that we can detect using this API. Finally, we will integrate the Cloud Vision API services with SmartExchange.

Chapter 4, Video Intelligence API, focuses on how to work with the Video Intelligence API over REST API. We will explore various features that we can detect using this API. Finally, we will integrate the Video Intelligence API services with SmartExchange.

Chapter 5, Cloud Speech API, looks at how to work with the Cloud Speech API over REST API. We will explore various features that we can detect using this API. Finally, we will integrate the Cloud Speech API with SmartExchange.

Chapter 6, Cloud Natural Language, outlines how to work with the Cloud Natural Language API over REST API. We will explore various features that we can detect using this API. Finally, we will integrate the Cloud Natural Language API with SmartExchange.

Chapter 7, Cloud Translation, explains how to work with the Cloud Translation API over REST API. We will explore how to translate a piece of text into other languages using this API. Finally, we will integrate the Cloud Translation API with SmartExchange.

To get the most out of this book

To work with the content of the book, you will need knowledge of the following technologies:

MongoDB

Node.js

ExpressJS

Mongoose

Angular 5

TypeScript

REST API services

You need to have Node.js 6.13.1 installed on your machine to follow along with this book.

Download the example code files

You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

Log in or register at

www.packtpub.com

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Select the

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Click on

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Enter the name of the book in the

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Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

WinRAR/7-Zip for Windows

Zipeg/iZip/UnRarX for Mac

7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Google-Cloud-AI-Services-Quick-Start-Guide. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://www.packtpub.com/sites/default/files/downloads/GoogleCloudAIServicesQuickStartGuide_ColorImages.pdf.

Code in Action

Visit the following link to check out videos of the code being run:

https://goo.gl/cViHRf.

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "This will install all the dependencies listed. Next, open the entire application in your favorite editor, and then open README.md."

A block of code is set as follows:

//SNIPP SNIPP{ "inputContent": "/9j/7QBEUGhvdG9zaG9...base64-encoded-video-content...fXNWzvDEeYxxxzj/Coa6Bax//Z", "features": ["LABEL_DETECTION"] }//SNIPP SNIPP

Any command-line input or output is written as follows:

$ yarn add @google-cloud/video-intelligence

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Click on New and then Request inside Postman."

Warnings or important notes appear like this.

Tips and tricks appear like this.

Get in touch

Feedback from our readers is always welcome.

General feedback: Email [email protected] and mention the book title in the subject of your message. If you have questions about any aspect of this book, please email us at [email protected].

Errata: Although we have taken every care to ensure the accuracy of our content, mistakes do happen. If you have found a mistake in this book, we would be grateful if you would report this to us. Please visit www.packtpub.com/submit-errata, selecting your book, clicking on the Errata Submission Form link, and entering the details.

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If you are interested in becoming an author: If there is a topic that you have expertise in and you are interested in either writing or contributing to a book, please visit authors.packtpub.com.

Reviews

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For more information about Packt, please visit packtpub.com.

Introducing Google Cloud AI Services

Cognition as a Service (CAAS) is the new kid on the block. No longer do engineers need to spend time building intelligence on top of their applications. Now, intelligence is borrowed from various services.

Welcome to Google Cloud AI Services Quick Start Guide, where we are going to explore the powerful Google Cloud AI services via a project-based approach. We are going to build a forum application named SmartExchange, similar to Discourse or Stack Overflow, where users start a discussion thread and other users comment on it.

To manage the content that goes into the SmartExchange application, we are going to use Google Cloud AI services such as Cloud Vision API and Video Intelligence API.

In this chapter, we are going to cover the following:

What is Google Cloud Platform?

Cognition in the cloud

What is Google Cloud AI?

Overview of Google Cloud AI services

Google Cloud Platform