CSE 490 G1/CSE 599 G1 — Introduction to Deep Learning
Prerequisites: 446 OR 455
SLN: 23410 CSE 490 G1
Wednesday and Friday: 330-450pm
Description: A survey class of neural network implementation and applications. Topics include: optimization – stochastic gradient descent, adaptive and 2nd order methods, normalization; convolutional neural networks – image processing, classification, detection, segmentation; recurrent neural networks – semantic understanding, translation, question-answering; cross-domain applications – image captioning, vision and language.