Catalog · Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Lecture 22 of 34 Lecture 22: Gradient Descent: Downhill to a Minimum ← Previous Lecture 21: Minimizing a Function Step by Step Next → Lecture 23: Accelerating Gradient Descent (Use Momentum) ✓ Mark complete Materials Transcript (PDF) ↗ transcript