Course Number(s):
9.S912
Instructor(s):
School(s):
Semester:
- Fall 2013
Course Level:
- Graduate
Prerequisite(s):
None
Course Description:
This course reviews and discusses research on the problem of learning to understand the world and interact with it using sensory information. Vision is used as the primary domain, and relevant learning approaches are examined from both computational and biological perspectives. Topics include learning in computational vision, recent advances and limitations of current learning methods, face processing by computers and brain, learning in synapses, reinforcement learning, and Markov decision processes in computers and brains.