Interactive browser-based tool for visualizing neural network loss landscapes using dimensionality reduction techniques from Li et al. (NeurIPS 2018), allowing users to experiment with different architectures (MLPs to ResNet-8) and optimizers to understand how they navigate high-dimensional optimization spaces. Provides practical intuition-building for understanding local minima geometry and optimizer behavior, though acknowledges limitations of 2D/3D projections for representing true high-dimensional surfaces.