|CS 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.
Math 124 (or 271), Stat 153 or equivalent, computer programming.
Pattern recognition/classification/data mining, Statistical modeling
Not specific to any particular application domain
|Frequency: Not sure|
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