CMU Introduction to Deep Learning 11785, Spring 2026: Lecture 2
From Carnegie Mellon University Deep Learning
Neural Networks: What can a network represent
Mentioned in This Episode
- Multi-layer Perceptron (concept)
- Activation Function (concept)
- Neurons (concept)
- Boolean Functions (concept)
- Decision Boundary (concept)
- XOR (concept)
- Universal Approximation Theorem (concept)
- Sigmoid (concept)
- Boolean Gates (concept)
- Cylinders (concept)
- Threshold Logic (concept)
- ReLU (concept)
- Truth Table (concept)
- Input Space (concept)
- Softplus (concept)
- Car Map (concept)
- Gerald Freedland (person)