85-419 Introduction to Parallel Distributed Processing

9 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: 21-112 or 21-124 or 21-111 or 21-115 or 21-120

Offered: Spring 2027, Spring 2026

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