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optimization

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ML Optimizer Visualizer Educational project comparing Gradient Descent, SGD, Momentum, RMSProp and Adam on the same 1D linear regression task. Features synthetic data with varying feature scales + noise to reveal real differences in optimizer behavior. Includes loss curves (linear & log), parameter trajectories and a clear performance summary

  • Updated Feb 3, 2026
  • Python

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