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
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
