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Google Cloud AI Services Quick Start Guide电子书

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4人正在读 | 0人评论 9.8

作       者:Arvind Ravulavaru

出  版  社:Packt Publishing

出版时间:2018-05-30

字       数:21.9万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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Leverage the power of various Google Cloud AI Services by building a smart web application using MEAN Stack About This Book ? 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 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. 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 In Detail 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. Style and approach We follow a project-based approach where we build a public forum application ifor uploading images or videos, posting and translating text messages. We incrementally add features by integrating each API as we go.
目录展开

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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