Caps

Caps, short for "Capsules," refers to a neural network architecture that enhances hierarchical feature learning. Unlike traditional neural networks, Capsules focus on capturing the spatial relationships among features, allowing for better generalization and robustness in image recognition. Introduced by Geoffrey Hinton, Capsules utilize dynamic routing algorithms to establish meaningful connections between capsules, enabling the network to better understand complex structures and variations in data. This innovative approach aims to overcome limitations in traditional convolutional neural networks, offering improved performance in tasks like object recognition and image understanding by preserving the spatial hierarchies of features.