Neural Networks & Deep Learning
Convolution
A mathematical operation that applies filters/kernels to input data to extract features like edges, textures, and patterns.
Related Concepts
- CNN: Explore how CNN relates to Convolution
- Filter: Explore how Filter relates to Convolution
- Kernel: Explore how Kernel relates to Convolution
- Feature Extraction: Explore how Feature Extraction relates to Convolution
Why It Matters
Understanding Convolution is crucial for anyone working with neural networks & deep learning. 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
neural-networks-deep-learning cnn filter kernel