CSI4140

Deep Learning and Applications

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 5140.Prerequisite(s): (CSI 2560 or APM 2555 or MTH 2775) and ( EGR 2600 or STA 2221 or STA 2226)

CSI5140

School of Egr. and Comp. Sci.