CSE543: Deep Learning

Catalog Description: Covers various aspects of deep learning systems, including: basics of deep learning, programming models for expressing machine learning models, automatic differentiation, memory optimization, scheduling, distributed learning, hardware acceleration, domain specific languages, and model serving.

Prerequisities: (none listed)
Credits: 4.0

Portions of the CSE543 web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly creditied. The CSE543 Web: © 1993-2024, Department of Computer Science and Engineering, Univerity of Washington. Administrative information on CSE543 (authentication required).