CSE 40963
Theory of Neural Networks
Introduction to the theory of neural networks: expressivity (what functions a neural network can and cannot compute) and trainability (what functions a neural network can and cannot learn). Neural network architectures covered will include feed-forward, recurrent, convolutional and attention (transformer) neural networks.
Sources
- Course catalogue ↗2026-2027