ECE 59500 - Machine Learning IILecture Hours: 3 Credits: 3
This is an experiential learning course.
CMPE Special Content Elective
Experimental Course Offered: Fall 2019
ECE 30200 or equivalent and MA 26500 or equivalent
Data-driven machine learning, Probabilistic inference using graphical models, sampling methods, historical perspective for deep learning algorithms and connection to nervous activity, learning with Boltzmann machines, cross-correlation and backpropagation, programming environments, tuning network parameters, generative networks, security aspects of machine learning, reinforcement learning, transfer learning, learning with explicit memory.
Required Text(s): None.
- Deep Learning, 1st Edition, Ian Goodfellow, Yoshua Bengio, and Aaron Courville, MIT Press, 2016, ISBN No. 0262035618.
Engineering Design Content:
Engineering Design Consideration(s):