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MIT 6.S094
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MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
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Project README
My assignments and notes for
MIT 6.S094 (2017)
.
2017 Edition
Lectures
Indroduction to Deep Learning and Self-Driving Cars
Deep Reinforcement Learning for Motion Planning
Convolutional Neural Networks for End-to-End Learning of the Driving Task
Recurrent Neural Networks For Steering Through Time
Deep Learning for Human-Centered Semi-Autonomous Vehicles
Chris Gerdes on Technology, Policy and Vehicle Safety in the Age of AI
Sertac Karaman (MIT) on Motion Planning in a Complex World
Assignments
DeepTraffic
DeepTesla
2018 Edition
Lectures (
full playlist
)
Deep Learning
-
[Slides]
Self-Driving Cars
-
[Slides]
Deep Reinforcement Learning
-
[Slides]
Computer Vision
-
[Slides]
Generative Adversarial Networks (coming soon)
Deep Learning for Human Sensing
-
[Slides]
Guest Talk - Sacha Arnoud
Guest Talk - Emilio Frazzoli
Deep Learning for Driver State Sensing (coming soon)
Guest Talk - Oliver Cameron
Guest Talk - Sterling Anderson
Assignments
DeepTraffic
DeepCrash
SegFuse
DeepTesla
Misc
Slack
FAQ
Open Source Agenda is not affiliated with "MIT 6.S094" Project. README Source:
Carmezim/MIT-6.S094
Stars
94
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Last Commit
5 years ago
Repository
Carmezim/MIT-6.S094
License
MIT
Tags
6s094
Assignments
Deep Learning
Deep Neural Networks
Lectures
Self Driving Car
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