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

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