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Training Dynamics

Compare optimizer trajectories on loss landscapes, experiment with learning rate schedules — cosine, step, exponential — and measure batch size effects on convergence.

OptimizersLR ScheduleBatch Effects
OPEN INTERACTIVE LAB ↗

What you'll explore

  • Training dynamics
  • Learning rate schedule
  • Optimizer comparison
  • Loss landscape
  • Batch size
  • Training convergence

About this lab

Compare optimizer trajectories on loss landscapes, experiment with learning rate schedules — cosine, step, exponential — and measure batch size effects on convergence. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.

Part of the Deep Learning Labs track — 8 labs covering the full curriculum.

PLATFORM FEATURES
Runs 100% in browser — no server, no installs
Adjustable parameters with real-time output
Privacy-first: zero data collection or uploads
Blockchain-verifiable experiment logs on Polygon
Free to use — open to everyone