Optimizer Race - Interactive Visualization

Modern ML uses Adam, not plain SGD - but why? This visualization races SGD, Momentum, RMSProp, and Adam from the same starting point on a challenging loss surface contour plot. Adam reaches the minimum fastest by maintaining per-parameter learning rates and first/second moment estimates. Momentum overshoots and oscillates. Plain SGD trudges along slowly, often following a zigzag path.

• Watch SGD, Momentum, RMSProp, and Adam race to minimum simultaneously
• See color-coded paths on the loss contour map
• Adjust learning rate to see all methods affected differently
• Understand why adaptive methods (Adam, RMSProp) are preferred
• See Momentum overshooting and SGD zigzagging vs Adam's smooth path

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.