Fall 2021 Course Descriptions

CS 137-01 Deep Neural Networks

L. Liu
MW 10:30-11:45, Anderson Hall 212
E+ Block

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.

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