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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
ACN 6348 (Overall) | |||||
A | |||||
ACN 6348 Richard Golden | |||||
A | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
ACN 6348 (Overall) | |||||
A | |||||
ACN 6348 Richard Golden | |||||
A | |||||
Neural Net Mathematics
ACN 6348
School of Behavioral and Brain Sciences
Vector calculus, Radon-Nikodym density functions, vector calculus-based probability theory, and Markov random fields with machine learning and artificial neural network modeling applications. Emphasizes applications of theory to unsupervised, supervised, and reinforcement learning machines and deep learning with MATLAB software implementations. This course is a required prerequisite for ACN 6349 and HCS 6349. 3 credit hours.
Prerequisites: Linear algebra and calculus and (STAT 3341 or equivalent) and department consent required.
Offering Frequency: Every two years
Grades: 67
Median GPA: A
Mean GPA: 3.771
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Neural Net Mathematics
ACN 6348
School of Behavioral and Brain Sciences
Vector calculus, Radon-Nikodym density functions, vector calculus-based probability theory, and Markov random fields with machine learning and artificial neural network modeling applications. Emphasizes applications of theory to unsupervised, supervised, and reinforcement learning machines and deep learning with MATLAB software implementations. This course is a required prerequisite for ACN 6349 and HCS 6349. 3 credit hours.
Prerequisites: Linear algebra and calculus and (STAT 3341 or equivalent) and department consent required.
Offering Frequency: Every two years
Grades: 67
Median GPA: A
Mean GPA: 3.771
Click a checkbox to add something to compare.