CSI 5140 - Deep Learning and Applications

(4 credits)

Introduction to learning, background knowledge for computer vision and natural language processing, linear models for regression and classification, perceptron learning, backpropagation and shallow neural networks, deep learning basics and software frameworks, convolutional neural networks, applications in object detection and semantic segmentation, autoencoders, visualization of learned convolution masks, recurrent neural networks, applications to sequences, generative adversarial networks, reinforcement learning. Cross-listed with CSI 4140.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.