Model Architectures
U-Net
A CNN architecture with encoder-decoder structure and skip connections, widely used for image segmentation tasks.
Related Concepts
- Semantic Segmentation: Explore how Semantic Segmentation relates to U-Net
- CNN: Explore how CNN relates to U-Net
- Encoder-Decoder: Explore how Encoder-Decoder relates to U-Net
Why It Matters
Understanding U-Net is crucial for anyone working with model architectures. This concept helps build a foundation for more advanced topics in AI and machine learning.
Learn More
This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
model-architectures semantic-segmentation cnn encoder-decoder