3credit hoursPrerequisite: CSCI 6020 or equivalent with a grade of C (2.0) or better. Various deep learning neural network architectures, theory, and applications including multilayer, convolution, recurrent, transformer, and generative models. Model training, validation, and deployment methodologies also studied.