Carmezim / Mit 6.s094
MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
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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
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
Misc
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