Convolutional Layer

A convolutional layer is a key component in neural networks, particularly for processing images. It works like a filter that scans over the image to recognize patterns, such as edges or textures. Imagine a small window moving across a picture: as it passes over different sections, it analyzes details and transforms them into a simpler representation. This helps the network learn important features automatically, enabling tasks like image classification or object detection with high accuracy. Essentially, convolutional layers make it easier for machines to "see" and understand visual information.