Embark on a comprehensive journey to master image segmentation with PyTorch, designed for both beginners and advanced learners. This course offers a detailed exploration of image segmentation, starting with foundational concepts and moving towards advanced techniques using real-world projects.
Recommended experience
What you'll learn
Apply multi-class semantic segmentation using PyTorch to real-world datasets.
Analyze the architecture and functionality of UNet and FPN models for effective image segmentation.
Evaluate and select appropriate loss functions and evaluation metrics for optimizing deep learning models.
Details to know
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September 2024
1 assignment
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There are 4 modules in this course
In this module, we will establish the foundational setup required for the course. We will define image segmentation, outline the course scope, and walk through the system setup. Additionally, we will cover how to access the necessary materials and configure the Conda environment for working with PyTorch.
What's included
5 videos1 reading
In this module, we will explore the basics of PyTorch, a powerful deep learning framework. We will delve into tensor operations, computational graphs, and the construction of neural network models. This section will equip you with essential skills for developing and training models in PyTorch.
What's included
19 videos
In this module, we will delve into Convolutional Neural Networks (CNNs) and their applications in computer vision. We will cover the basics of CNN architecture, image preprocessing techniques, and the debugging of neural networks. This section provides a comprehensive introduction to CNNs and their practical implementations.
What's included
6 videos
In this module, we will focus on semantic segmentation, a critical task in image analysis. We will explore various neural network architectures, upsampling techniques, and loss functions. Additionally, we will cover data preparation, model training, and evaluation metrics to ensure accurate and effective segmentation results.
What's included
15 videos1 assignment
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.