Intro to ML: Image Processing

Introductory 5 Steps 시간 25 크레딧

Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

Data

Quest Outline

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AI Platform: Qwik Start

이번 실습에서는 TensorFlow 모델을 학습시키고 서비스 제공(예측)을 위해 AI Platform에 배포합니다. 간단한 동영상 AI Platform으로 머신러닝의 기능 활용 및 AI Platform: Qwik Start - Qwiklabs 미리보기에서 내용을 알아보세요.

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APIs Explorer: Qwik Start

In this lab you'll upload an image to Cloud Storage then make a request to the Vision API with APIs Explorer.

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Classify Images of Clouds in the Cloud with AutoML Vision

AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

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Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

The Cloud Vision API lets you understand the content of an image by encapsulating powerful machine learning models in a simple REST API. In this lab you’ll send an image to the Cloud Vision API and have it identify objects, faces, and landmarks.

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Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.