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.
1 term
Other grades
University of California, Santa Cruz
ECE 110 at UCSC: average GPA 3.86 across 11 students. Grade distribution by term. Studies how the computational principles of the brain can be applied to build…
Average GPA: 3.86
Grade distribution records: 11 students across 1 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 2 | 18.2% |
| A | 4 | 36.4% |
| B | 1 | 9.1% |
| P | 3 | 27.3% |
| NP | 1 | 9.1% |
Based on 11 student grade records across 1 term and 1 professor.
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