CNNs: Masters of Vision
What Are CNNs?
Convolutional Neural Networks (CNNs) are specialized for processing images. They can recognize patterns like shapes, edges, and textures, making them perfect for tasks like recognizing faces or detecting objects in pictures.
How CNNs Work:
- Convolutional Layers: Imagine looking at a photo through a small window and moving it around to capture different parts. CNNs use similar windows (filters) to scan images and detect patterns.
- Pooling Layers: These layers reduce the size of the image data, focusing on the most important features and making the process faster.
Impact on Technology:
CNNs are used in facial recognition, medical image analysis, and even in your smartphone’s camera to enhance photos.