Graduate

Courses

Intelligent Systems Engineering

E533 Deep Learning Systems

Credits: 3

Prerequisite(s): ENGR-E 511.

This course teaches the pipeline for building state-of-the-art deep learning-based intelligent systems. It covers general training mechanisms and acceleration options that use GPU computing libraries and parallelization techniques running on high performance computing systems. The course also aims at deploying the networks to the low-powered hardware systems.

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