更新时间：2021-06-24 12:49:22
coverpage
Title Page
Copyright and Credits
Hands-On Artificial Intelligence on Amazon Web Services
About Packt
Why subscribe?
Contributors
About the authors
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
Conventions used
Get in touch
Reviews
Section 1: Introduction and Anatomy of a Modern AI Application
Introduction to Artificial Intelligence on Amazon Web Services
Technical requirements
What is AI?
Applications of AI
Autonomous vehicles
AI in medical care
Personalized predictive keyboards
Why use Amazon Web Services for AI?
Overview of AWS AI offerings
Hands-on with AWS services
Creating your AWS account
Navigating through the AWS Management Console
Finding AWS services
Choosing the AWS region
Test driving the Amazon Rekognition service
Working with S3
Identity and Access Management
Getting familiar with the AWS CLI
Installing Python
Installing Python on macOS
Installing Python on Linux
Installing Python on Microsoft Windows
Windows 10
Earlier Windows versions
Installing the AWS CLI
Configuring the AWS CLI
Invoking the Rekognition service using the AWS CLI
Using Python for AI applications
Setting up a Python development environment
Setting up a Python virtual environment with Pipenv
Creating your first Python virtual environment
First project with the AWS SDK
Summary
References
Anatomy of a Modern AI Application
Understanding the success factors of artificial intelligence applications
Understanding the architecture design principles for AI applications
Understanding the architecture of modern AI applications
Creation of custom AI capabilities
Working with a hands-on AI application architecture
Object detector architecture
Component interactions of the Object Detector
Creating the base project structure
Developing an AI application locally using AWS Chalice
Developing a demo application web user interface
Deploying AI application backends to AWS via Chalice
Deploying a static website via AWS S3
Further reading
Section 2: Building Applications with AWS AI Services
Detecting and Translating Text with Amazon Rekognition and Translate
Making the world smaller
Understanding the architecture of Pictorial Translator
Component interactions of Pictorial Translator
Setting up the project structure
Implementing services
Recognition service – text detection
Translation service – translating text
Storage service – uploading files
A recommendation on unit testing
Implementing RESTful endpoints
Translate the image text endpoint
Upload the image endpoint
Implementing the web user interface
index.html
scripts.js
Deploying Pictorial Translator to AWS
Discussing project enhancement ideas
Performing Speech-to-Text and Vice Versa with Amazon Transcribe and Polly
Technologies from science fiction
Understanding the architecture of Universal Translator
Component interactions of Universal Translator
Transcription service – speech-to-text
Translation Service – translating text
