ME 232 - Deep Learning in Mechanical Engineering

3 unit(s)
Introduction to the basics of deep learning methods employed in engineering and exposure to leading-edge research. Modules presented via lectures and labs cover background, feed forward neural networks (NN), convolutional NN, recurrent NN, autoencoders, generative NN, and reinforcement learning.

Lecture 2 hours/Lab 3 hours.

Prerequisite(s): Graduate standing or instructor consent
Grading: Letter Graded

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