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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
HCS 6348 (Overall) | |||||
HCS 6348 Richard Golden | |||||
Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
HCS 6348 (Overall) | |||||
HCS 6348 Richard Golden | |||||
Neural Net Mathematics
HCS 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
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Neural Net Mathematics
HCS 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
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.