DATA 255 - Deep Learning and Computer Vision in Applied Data Intelligence

3 unit(s)
Study deep learning theory, techniques and technologies; implement neural networks using deep learning frameworks to solve problems in various application domains;Build CNNs for vision, RNNs/Transformers for sequences, and GANs for synthesis. Computer vision topics include image preprocessing and augmentation, transfer learning, object detection, segmentation with a focus on evaluation and robustness.

Prerequisite(s): DATA 230 and (with a “C” or better grade).
Corequisite(s): DATA 245 .
Grading: Letter Graded.

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