Mastering Image Segmentation with PyTorch using Real-World Projects
Dive into PyTorch-Powered Image Segmentation with Real-World Projects
Created by Bert Gollnick
Explore the world of image segmentation using PyTorch as you combine foundational theory with hands-on coding. Work through real-world projects that help you understand neural network architectures, semantic segmentation, and model evaluation. By the end, you'll be ready to build and optimize your own segmentation models for practical use.
Packt | Sep 2023 | 305 min
What You Will Learn
You'll start by setting up your environment and learning the basics of tensors, datasets, and neural networks in PyTorch. As you progress, you'll tackle practical projects that involve data preprocessing, model building, and evaluation. Coding demonstrations and interactive exercises help reinforce each concept, ensuring you gain confidence with every step.
Key Features
- Build and train image segmentation models using PyTorch from scratch
- Apply advanced techniques to improve model accuracy and performance
- Evaluate and fine-tune models with real-world datasets and metrics
Target Audience
Ideal for data scientists, AI enthusiasts, and machine learning practitioners who want to deepen their expertise in image segmentation. If you have experience with Python, a basic understanding of machine learning, and some familiarity with PyTorch, you'll be well-prepared to get the most out of this learning experience.
