Architecture
Convolutional Neural Network (CNN)
Neural networks specialized for processing grid-like data
What is Convolutional Neural Network (CNN)?
Convolutional Neural Networks are deep learning architectures designed to process data with grid-like topology, such as images. They use convolutional layers that apply filters to detect features like edges, textures, and patterns, building up to complex object recognition.
Key Points
1
Uses convolutional layers for feature extraction
2
Shares weights across spatial locations
3
Excellent for image processing
4
Hierarchical feature learning
Practical Examples
Image classification
Object detection
Facial recognition
Medical image analysis