Fall 2021 Course Descriptions
CS 137-01 Deep Neural Networks
MW 10:30-11:45, Anderson Hall 212
Deep neural networks and their applications including computer vision and natural language processing. Feed-forward, convolutional, and recurrent neural networks. Techniques for training deep neural networks, including optimization, regularization, and usage of related software.
Prerequisite: Recommendations: COMP 135, MATH 42, and MATH 70; or consent of instructor.