📊 3D Loss Landscape
Understanding Optimization
Watch how different optimization algorithms navigate the loss landscape. Each algorithm has unique characteristics: SGD takes direct steps down the gradient, Momentum accelerates in consistent directions, while Adam adapts its learning rate for each parameter.
🎛️ Controls
SGD
Stochastic Gradient Descent - Simple but effective
Momentum
SGD with momentum - Accelerates in consistent directions
Adam
Adaptive learning rates with momentum
RMSprop
Root Mean Square Propagation - Good for non-stationary objectives
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Current Loss
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Best Loss
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Iterations
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Convergence
SGD Path
Momentum Path
Adam Path
RMSprop Path