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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 6342 (Overall) | |||||
STAT 6342 Xiwei Tang | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
STAT 6342 (Overall) | |||||
STAT 6342 Xiwei Tang | |||||
Deep Learning
STAT 6342
School of Natural Sciences and Mathematics
Deep neural network models as generalizations of traditional shallow learning models; feedforward neural networks; loss and activation functions; optimization for deep neural networks; backpropagation algorithm; regularization methods; methods for improving generalizability; convolutional neural networks; recurrent and other neural network models for sequence data; autoencoders; and deep generative models. Computer packages such as R or Python will be used for the implementation of methods and data analysis. Department consent required. 3 credit hours.
Prerequisite: (STAT 5353 or equivalent) or instructor consent.
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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Deep Learning
STAT 6342
School of Natural Sciences and Mathematics
Deep neural network models as generalizations of traditional shallow learning models; feedforward neural networks; loss and activation functions; optimization for deep neural networks; backpropagation algorithm; regularization methods; methods for improving generalizability; convolutional neural networks; recurrent and other neural network models for sequence data; autoencoders; and deep generative models. Computer packages such as R or Python will be used for the implementation of methods and data analysis. Department consent required. 3 credit hours.
Prerequisite: (STAT 5353 or equivalent) or instructor consent.
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.