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 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 Credits 3. 3 Lecture Hours.
