ECE210: Brain-Inspired Machine Learning

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 110. Students cannot receive credit for this course and ECE 110. Enrollment is restricted to graduate students.

5 credits

Year Fall Winter Spring Summer
2024-25

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