Undergraduate Prerequisites: (CASCS542) - Mathematical and machine learning background for deep learning. Feed-forward networks., Backpropagation. Training strategies for deep networks. Architectures such as convolutional, recurrent, transformer networks. Deep reinforcement learning. Deep unsupervised learning. Exposure to modern programming tools and libraries. Other recent topics, time permitting.

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