Subject: Electrical Engineering
Credit units: 3
College: Graduate and Postdoc Studies
Department: Electrical and Cmptr Engin

Description

The introduction of deep learning basics and deep learning processor architecture. Includes: artificial intelligence, deep neural network, deep learning frameworks, hardware processing element design, memory system, and advanced topics for efficient deep learning processor architecture design.

Prerequisite(s): CME 433
Note: This course is a hybrid course with GE 431, and this course cannot be taken for credit after previously taking GE 431

Upcoming class offerings

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Syllabi

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