Deep Learning.
Faculty of EngineeringDepartment of Electrical and Computer Engineering
Description
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 learning, recent models and architectures in deep learning.
Course outline
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