Capsule Networks: A Breakthrough in Computer Vision

Capsule Networks are an emerging type of neural network architecture designed to address the limitations of traditional convolutional neural networks (CNNs) in image recognition and computer vision. In contrast to CNNs, which use a set of fixed filters to extract relevant features from an input image, capsule networks utilize a hierarchical structure of nested groups