ECSE 552. Deep Learning.
Credits: 4
Offered by: Electrical & Computer Engr (Faculty of Engineering)
Terms offered: Fall 2026, Winter 2027
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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.
- Prerequisite: ECSE 551 or COMP 551