Unsupervised Mnist

The Unsupervised MNIST task aims to model the MNIST dataset using unsupervised learning methods to discover the intrinsic structure and feature representations of the data. This task does not rely on label information and improves the model's generalization and data understanding capabilities through techniques such as clustering and dimensionality reduction, making it an important area of research and application.