This course focuses artificial neural networks as a machine learning tool. A variety of neural networks from perceptrons to convolutional and recurrent networks will be studied. Autoencoders and reinforcement learning will also be covered. Regularization and optimization are included. (Prerequisites: DATS301, DATS344)

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