Convolutional Neural Networks

Convolutional neural networks (CNNs) are a type of deep learning architecture specifically designed for processing grid-like data, such as images. CNNs employ convolutional layers that apply filters to local regions of the input data, allowing them to learn spatial hierarchies of features. CNNs also typically include pooling layers that reduce the spatial dimensions of the data, and fully connected layers to make predictions based on the learned features.