DATA 255 - Deep Learning Technologies

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 convolutional networks for image recognition, recurrent networks for sequence generation, and generative adversarial networks for image generation.

Prerequisite(s): DATA 228 and DATA 245 (with a “C” or better grade).
Corequisite(s): DATA 265 or DATA 266.
Grading: Letter Graded.

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