Gradient Descent Playground

Optimization

Gradient Descent Playground

Optimization paths, learning rates, and loss-surface behavior.

What This Shows

Adjust optimization settings and watch how the path over a loss surface changes. The demo shows why learning rate, curvature, and initialization affect convergence, instability, and training time in machine learning systems.

Optimization Gradient descent Numerical methods Loss functions Model training

Technical Challenge

Making iterative optimization behavior visible enough to diagnose convergence failures.

My Contribution

Built an interactive loss-surface view that connects parameter updates to model training dynamics.

Industry Transfer

Deep learning, forecasting models, calibration, optimization-heavy analytics workflows.

Connected Work

Production ML training workflows and statistical modeling.