Detailed Course Information |
Fall 2026
Nov 02, 2026 |
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| CMAI 361 - Deep Learning |
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Foundational principles and core algorithms of deep learning, including deep neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), auto-encoders and transformers. The course emphasizes model design, training, evaluation, optimization, and practical deployment considerations. Hands-on experience in designing, implementing, evaluating and deploying deep learning-based solutions using real-world datasets and modern deep learning frameworks.
0.000 TO 3.000 Credit hours 0.000 OR 3.000 Lecture hours 0.000 OR 2.000 Lab hours Levels: Undergraduate Schedule Types: Lab, Lecture Computer Science & Engineering Department Course Attributes: Engineering Course (TUI) Restrictions: Must be enrolled in one of the following Levels: Undergraduate Must be enrolled in one of the following Colleges: Engineering Prerequisites: Undergraduate level GENG 200 Minimum Grade of D and (Undergraduate level CMPS 303 Minimum Grade of D or Undergraduate level CMPS 360 Minimum Grade of D) |
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