ECE110: Brain-Inspired Machine Learning

This course studies how the computational principles of the brain can be applied to build efficient machine learning models in software and hardware. Topics include the neuroscience of deep learning, spiking neural networks, hardware accelerators, and memory circuit design. Taught in conjunction with ECE 210. Students cannot receive credit for this course and ECE 210. This course has no prerequisites, but students are recommended to take ECE 101.

5 credits

Year	Fall	Winter	Spring	Summer

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