CSCI 167 - Introduction to Deep Learning

Prerequisite: CSCI 115 or permission of instructor.
An overview of concepts, techniques, and algorithms in machine learning with special attention to concepts underlying modern deep learning. Fundamental concepts, techniques, and algorithms, including logistic regression, backpropagation, diminishing gradients issue, batch normalization, residual networks, convolutional networks, recurrent networks and their implementation. Hands-on experience through machine learning experiments using popular learning frameworks. (Formerly CSCI 191T)

Units: 3

Course Typically Offered: Fall