Convolutional Neural Network
A type of neural network specifically designed for processing grid-like data such as images. CNNs use convolutional layers that apply filters to detect patterns like edges, textures, and shapes at different scales.
Why It Matters
CNNs are the backbone of computer vision — they power facial recognition, medical imaging, autonomous driving, and quality control in manufacturing.
Example
A CNN analyzing a chest X-ray by first detecting edges and lines, then combining them into shapes, and finally recognizing patterns associated with pneumonia.
Think of it like...
Like looking at a photo through a magnifying glass that scans across the image — first you notice small details like edges, then those combine into recognizable objects.
Related Terms
Computer Vision
A field of AI that trains computers to interpret and understand visual information from the world — images, videos, and real-time camera feeds. It enables machines to 'see' and make decisions based on what they see.
Image Classification
A computer vision task that assigns a category label to an entire image. The model determines what the main subject of the image is from a predefined set of categories.
Object Detection
A computer vision task that identifies and locates specific objects within an image or video, providing both the object class and its position (usually as a bounding box).