CS 444
Deep Learning
Theoretical and practical aspects of deep learning; classification; feedforward networks; back propagaton; regularization; and convolutional, recurrent, and recursive neural networks.
Sources
- Course catalogue ↗2026-2027
Theoretical and practical aspects of deep learning; classification; feedforward networks; back propagaton; regularization; and convolutional, recurrent, and recursive neural networks.