Catalog · Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Lecture 26 of 34 Lecture 26: Structure of Neural Nets for Deep Learning ← Previous Lecture 25: Stochastic Gradient Descent Next → Lecture 27: Backpropagation: Find Partial Derivatives ✓ Mark complete Materials Transcript (PDF) ↗ transcript