COSC 774 - Deep Learning I

3 Credits (Fall Only)
Prerequisite(s): COSC 573 or COSC 674. This course covers different deep learning algorithms and their mathematical properties and applications. It provides both the theory and practical experience on how to build and train models using multilayer perceptrons (MLPs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders (AE), generative adversarial networks (GANs), deep Q Networks (DQNs) and Graph neural networks (GNNs).