Chevron Left
Semantic Segmentation with Amazon Sagemaker(으)로 돌아가기

Coursera Project Network의 Semantic Segmentation with Amazon Sagemaker 학습자 리뷰 및 피드백

4.8
별점
10개의 평가
1개의 리뷰

강좌 소개

In this 2-hour long project-based course, you will learn how to train and deploy a Semantic Segmentation model using Amazon Sagemaker. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. We will use the semantic segmentation algorithm from Sagemaker to create, train and deploy a model that will be able to segment images of dogs and cats from the popular IIIT-Oxford Pets Dataset into 3 unique pixel values. That is, each pixel of an input image would be classified as either foreground (pet), background (not a pet), or unclassified (transition between foreground and background). IMPORTANT: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Since this is a practical, project-based course, we will not dive in the theory behind deep learning based semantic segmentation, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS)....
필터링 기준:

Semantic Segmentation with Amazon Sagemaker의 1개 리뷰 중 1~1

교육 기관: Devidas K

May 19, 2020

It was Wonderful learning Experience