Introduction to Engineering Design: Machine Learning

Laboratory, three hours; outside study, three hours. Students learn basics of machine learning using popular programming language Python. Lectures cover topics in Python, machine learning, and LaTeX. Laboratory assignments challenge students to explore and engage with content from each lecture. Homework assignments culminate in final project in which students develop and train neural network image classifier, built using PyTorch, that performs significantly better than random guessing. Students report on how they chose components of their neural network. Letter grading.

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Course

Instructor
Jacob Schmidt
Previously taught
25W 24F

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