MIT Subject Listing & Schedule
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6.812 Hardware Architecture for Deep Learning

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(Subject meets with 6.825)
Prereq: 6.003 or 6.004
Units: 3-3-6
https://eecs.scripts.mit.edu/eduportal/__How_Courses_Will_Be_Taught_Online_or_Oncampus__/S/2021/#6.812 (6.825)
Lecture: MW1-2.30 (VIRTUAL) Lab: TBA Recitation: F11 (VIRTUAL)

Introduction to the design and implementation of hardware architectures for efficient processing of deep learning algorithms in AI systems. Topics include basics of deep learning, programmable platforms, accelerators, co-optimization of algorithms and hardware, training, support for complex networks, and applications of advanced technologies. Includes labs involving modeling and analysis of hardware architectures, building systems using popular deep learning tools and platforms (CPU, GPU, FPGA), and an open-ended design project. Students taking graduate version complete additional assignments.
V. Sze, J. Emer
No textbook information available