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Courses - Fall 2024
Engineering, Professional Masters Department Site
Open Seats as of
06/15/2024 at 08:30 AM
Fundamentals of AI and Deep Learning
Credits: 3
Grad Meth: Reg, Aud
Credit only granted for: ENPM809K or ENPM703.
Formerly: ENPM809K.
Fundamentals of machine learning techniques with a deep dive into cutting edge concepts that enabled neural networks to achieve state of the art performance in many visual, textual, and biomedical problems. Fundamental concepts like forward networks, convolution networks, recurrent neural networks, back propagation, loss functions, batch gradient descent, and stochastic optimization will be studied.