IT 558 DEEP LEARNING THEORY

This course presents the history and theory of deep learning. Neural networks, tensor operations and gradient based optimization are some of the concepts reviewed. The course relies on practical Python examples to ensure students can learn and implement core deep learning skills.

Credits

3

Prerequisite

QM 525

Distribution

INFORMATION TECHNOLOGY