Deep Learning and Applications

4 credits

Foundations of deep learning. Deep learning architectures and learning algorithms. Feedforward, convolutional, and recurrent networks. Regularization. Applications to vision, speech, or text processing. Prerequisites: ECE 271A-B with a grade of B– or above; graduate standing.