CPEG 586 - Deep Learning

3 credit(s)

Prerequisite(s): Appropriate Mathematics and Programming background.
Deep learning architectures such as deep convolution networks, sparse autoencoders, recurrent neural networks, reinforcement learning techniques. Programming projects on the different deep networks through state of the art libraries using Tensor Flow, and PyTorch are assigned.