Detailed Course Information |
Fall 2022
Apr 23, 2024 |
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| DSCI 440 - Applied Deep Learning |
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This course is an applied study of algorithms and models to perform deep learning on very large unstructured datasets, such as images, and texts. Topics include artificial neural networks, deep neural networks, deep learning models and training algorithms, optimizers, preparation of training data, measuring performance, and developing applications over the cloud. Prerequisites: DSCI 230 and MATH 214.Three credit hours.
3.000 Credit hours 3.000 Lecture hours Levels: Second Degree, Undergraduate Schedule Types: Lecture Math & Computing Department Prerequisites: (Undergraduate level DSCI 230 or Second Degree level DSCI 230) and (Undergraduate level MATH 214 or Second Degree level MATH 214) |
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