Create an account (or log in) first — then we take you straight to checkout.
Training by Sub-Gradient Steps: Update Rules, a Fixed Learning Rate and the Objective per Epoch
This lesson is part of the course
Buy the course once for $9.99 to unlock every lesson and lab, the final exam and the certificate – lifetime access, no subscription.
Lessons in this course
- A Separating Line: Scores, Signs and Predicted Classes Pro
- Margins: Functional Margin, Geometric Margin and the Width of the Street Pro
- Hinge Loss: Points Outside, Inside and on the Wrong Side of the Margin Pro
- Soft Margins and C: Trading a Wide Street Against Hinge Loss Pro
- Training by Sub-Gradient Steps: Update Rules, a Fixed Learning Rate and the Objective per Epoch Pro
- Support Vectors: The Few Tiles That Hold the Line Pro
- Kernels: Feature Maps for a Ring-Shaped Set, Polynomial and Radial Kernel Tables Pro
- Capstone: Kernel Decisions Σ α·y·K + b and Several Classes with One-vs-Rest Pro