Catalog · Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Lecture 25 of 34 Lecture 25: Stochastic Gradient Descent ← Previous Lecture 24: Linear Programming and Two-Person Games Next → Lecture 26: Structure of Neural Nets for Deep Learning ✓ Mark complete Materials Transcript (PDF) ↗ transcript