85-719 Introduction to Parallel Distributed Processing

9–12 units, Carnegie Mellon University

This course provides an overview of Parallel-Distributed-Processing/neural-network models of perception, memory, language, knowledge representation, and learning. The course consists of lectures describing the theory behind the models as well as their implementation, and their application to specific empirical domains. Students get hands-on experience developing and running simulation models.

Prerequisites: none listed

Offered: Spring 2027, Spring 2026

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