STAT 256 - Neural Computation

Introduction to artificial neural networks, their computational capabilities and limitations, and the algorithms used to train them. Statistical capacity, convergence theorems, backpropagation, reinforcement learning, generalization. Prerequisites: MATH 124 (or MATH 271), STAT 153 or equivalent, computer programming. Cross-listing: CS 256/CSYS 256.

Credits: 3