Data Analytics II

Catalog description

Credits 3. 3 Lecture Hours. Deep learning, including basic machine learning, supervised learning, logistic regression, loss functions, neural networks, optimization, error back-propagation, regularization and generalization, convolutional neural networks, recurrent neural networks, attention models, applications to natural language processing and computer vision. Prerequisites: Grade of C or better in DAEN 301 and DAEN 323 ; junior or senior classification.