16.633
NEET Junior Seminar: Autonomous Machines
Provides instruction in applying and implementing the fundamental concepts of machine learning with an autonomous vehicle equipped with a variety of sensors. Topics include: neural network architecture, training and optimization, activation functions, loss functions, fitting models, gradients, and initialization as utilized in real-world implementation of machine learning for autonomous vehicle navigation. Limited to students in the NEET Autonomous Machines thread.
Prerequisites & course information
Prereq: ( 16.632A and ( 2.007 or 16.632B )) or permission of instructor U (Fall) 1-1-1 units
Sources
- Course catalogue ↗2026–2027