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MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
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First deep learning intro lecture of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017.
INFO:
Links to individual lecture videos for the course:
Lecture 1: Introduction to Deep Learning and Self-Driving Cars
Lecture 2: Deep Reinforcement Learning for Motion Planning
Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task
Lecture 4: Recurrent Neural Networks for Steering through Time
Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles
CONNECT:
- If you enjoyed this video, please subscribe to this channel.
INFO:
Links to individual lecture videos for the course:
Lecture 1: Introduction to Deep Learning and Self-Driving Cars
Lecture 2: Deep Reinforcement Learning for Motion Planning
Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task
Lecture 4: Recurrent Neural Networks for Steering through Time
Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles
CONNECT:
- If you enjoyed this video, please subscribe to this channel.
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
MIT 6.S094: Deep Reinforcement Learning
MIT 6.S094: Deep Learning
MIT 6.S094: Computer Vision
MIT 6.S094: Deep Reinforcement Learning for Motion Planning
MIT 6.S094: Deep Learning for Human Sensing
MIT 6.S094: Recurrent Neural Networks for Steering Through Time
MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
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Lex Fridman: Roadblocks in Deep Learning
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Lex Fridman: Are Autonomous Vehicles Responsive to Sound?
MIT 6.S191 (2020): Reinforcement Learning
Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars
Lex Fridman: Will AI Become Our Master?
MIT Self-Driving Cars (2018)
MIT 6.S191 (2022): Reinforcement Learning
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