Summary
This post introduces an interactive browser experiment designed to help visualize and build intuition for the complex, high-dimensional loss landscapes of neural networks. It addresses the limitations of traditional 2D analogies, which often fail to accurately represent the true geometry and local minima of these spaces. The tool aims to demonstrate how different optimizers navigate these intricate landscapes.
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