Convolutional layers are fundamental components of convolutional neural networks (CNNs) that apply convolution operations to input data, capturing spatial hierarchies and patterns through learnable filters. These layers are crucial for tasks like image and video recognition, as they efficiently reduce data dimensionality while preserving essential features for deeper network layers to process.
