CSE599G1: Deep Learning Systems

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: 1.0 to 5.0

---

Portions of the CSE599G1 web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSE599G1 Web: © 1993-2024, Department of Computer Science and Engineering, University of Washington. Administrative information on CSE599G1 (authentication required).