Udemy – Mastering Image Segmentation with PyTorch 2023-1

Descriptions

Welcome to “Mastering Image Segmentation with PyTorch”! In this course, you will learn everything you need to know to get started with image segmentation using PyTorch. Image segmentation is a key technology in the field of computer vision, which enables computers to understand the content of an image at a pixel level. It has numerous applications, including autonomous vehicles, medical imaging, and augmented reality.

This course is designed for both beginners and experts in the field of computer vision. If you are a beginner, we will start with the basics of PyTorch and how to use it for simple modeling. Then, you will learn how to implement popular semantic segmentation models such as FPN or U-Net. By the end of this course, you will have the skills and knowledge to tackle real-world semantic segmentation projects using PyTorch. So why wait? Join me today and take the first step towards mastering image segmentation with PyTorch!

What you’ll learn

• implement multi-class semantic segmentation with PyTorch on a real-world dataset
• get familiar with different architectures like UNet, FPN
• understand theoretical background, e.g. on upsampling, loss functions, evaluation metrics
• perform data preparation to reshape inputs to appropriate format

Who this course is for

• Developers who want to understand and implement Image Segmentation
• Data Scientists who want to broaden their scope of Deep Learning techniques

Specificatoin of Mastering Image Segmentation with PyTorch

• Publisher : Udemy
• Teacher : Bert Gollnick
• Language : English
• Level : Intermediate
• Number of Course : 44
• Duration : 5 hours and 1 minutes

Content of Mastering Image Segmentation with PyTorch

Requirements

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Download Part 1 – 1 GB

Download Part 2 – 926 MB

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File size

1.9 GB