Handwritten Digit Recognition using Capsule Networks

This project uses Capsule Networks (CapsNets) to classify handwritten digits. CapsNets are designed to overcome the limitations of CNNs by maintaining the spatial relationships between features in the data, improving recognition accuracy and reducing errors caused by feature misalignment.