Chevron Left
Zurück zu Semantic Segmentation with Amazon Sagemaker

Bewertung und Feedback des Lernenden für Semantic Segmentation with Amazon Sagemaker von Coursera Project Network

4.6
Sterne
79 Bewertungen

Über den Kurs

Please note: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Please make sure that you are able to access Sagemaker within your AWS account. If your AWS account is new, you may need to ask AWS support for access to certain resources. You should be familiar with python programming, and AWS before starting this hands on project. We use a Sagemaker P type instance in this project, and if you don't have access to this instance type, please contact AWS support and request access. 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). 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)....

Top-Bewertungen

AA

11. Jan. 2022

I found the project to be a great step-by-step introduction to using notebooks within sagemaker in order to orchestrate training/deployment jobs!

MA

7. März 2021

Thanks So Much Coursera Learning Platform i Learn lot of Skills from Here, and get start my Business www.facebook.com/MySalesWays

Filtern nach:

1 - 14 von 14 Bewertungen für Semantic Segmentation with Amazon Sagemaker

von Tarun

1. Juli 2021

von Alireza A

12. Jan. 2022

von Mustafa A

8. März 2021

von Mihir I

23. Apr. 2022

von Enrique A M

26. Okt. 2021

von Devidas K

19. Mai 2020

von Kenneth N

18. Aug. 2022

von SONALI H

30. Okt. 2021

von Carlos A R Z

19. Juni 2020

von shakti k

18. Sep. 2022

von Pris A

18. Feb. 2021

von ABDUL H H

4. Apr. 2021

von Himanshu S

14. Juni 2021

von Maximilian B

3. Juli 2020