ECSE 552 Deep Learning

4 credits · Electrical & Computer Engr · Faculty of Engineering · Offered: Fall, Winter

Overview of mathematical background and basics of machine learning, deep feedforward networks, regularization for deep learning, optimization for training deep learning models, convolutional neural networks, recurrent and recursive neural networks, practical considerations,applications of deep learn…

Prerequisite courses: COMP 551, ECSE 551

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