Machine Learning for Computational Engineering.
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Course Description
Linear and kernel support vector machines, deep learning, deep neural networks, generative adversarial networks, physics-based machine learning, forward and reverse mode automatic differentiation, optimization algorithms for machine learning, TensorFlow, PyTorch.
Cross Listed Courses
Grading Basis
RLT - Letter (ABCD/NP)
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
Programs
CME216
is a
completion requirement
for:
- (from the following course set: )
- (from the following course set: )