ycliper

Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
Скачать

Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars

Автор: Lex Fridman

Загружено: 2017-12-12

Просмотров: 43380

Описание: This is a guest talk for course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017.

Course website: https://selfdrivingcars.mit.edu
Contact: [email protected]

Playlist: https://goo.gl/SLCb1y

Links to individual lecture videos for the course:

Lecture 1: Introduction to Deep Learning and Self-Driving Cars
   • MIT 6.S094: Introduction to Deep Learning ...  

Lecture 2: Deep Reinforcement Learning for Motion Planning
   • MIT 6.S094: Deep Reinforcement Learning fo...  

Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task
   • MIT 6.S094: Convolutional Neural Networks ...  

Lecture 4: Recurrent Neural Networks for Steering through Time
   • MIT 6.S094: Recurrent Neural Networks for ...  

Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles
   • MIT 6.S094: Deep Learning for Human-Center...  

CONNECT:
If you enjoyed this video, please subscribe to this channel.
AI Podcast: https://lexfridman.com/ai/
Show your support:   / lexfridman  
LinkedIn:   / lexfridman  
Twitter:   / lexfridman  
Facebook:   / lexfridman  
Instagram:   / lexfridman  
Slack: https://deep-mit-slack.herokuapp.com

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars

Поделиться в:

Доступные форматы для скачивания:

Скачать видео

  • Информация по загрузке:

Скачать аудио

Похожие видео

Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars

Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars

MIT Self-Driving Cars (2018)

MIT Self-Driving Cars (2018)

Anushri Dixit - Planning with Confidence: Uncertainty Quantification for Safety-Critical Tasks

Anushri Dixit - Planning with Confidence: Uncertainty Quantification for Safety-Critical Tasks

Chris Urmson: How a driverless car sees the road

Chris Urmson: How a driverless car sees the road

The Ridiculous Engineering Of The World's Most Important Machine

The Ridiculous Engineering Of The World's Most Important Machine

I RACED My Self-Driving RC Car

I RACED My Self-Driving RC Car

MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars

MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars

Building A Self Driving Car - Jeremy Fielding 098

Building A Self Driving Car - Jeremy Fielding 098

Motion Planning and Control (Waabi CVPR 23 Tutorial on Self-Driving Cars)

Motion Planning and Control (Waabi CVPR 23 Tutorial on Self-Driving Cars)

Drago Anguelov (Waymo) - MIT Self-Driving Cars

Drago Anguelov (Waymo) - MIT Self-Driving Cars

Advanced Motion Planning: FMT*, Informed RRT*, BIT*, and RABIT* | An OMPL Tutorial with Examples

Advanced Motion Planning: FMT*, Informed RRT*, BIT*, and RABIT* | An OMPL Tutorial with Examples

Andrej Karpathy - AI for Full-Self Driving at Tesla

Andrej Karpathy - AI for Full-Self Driving at Tesla

MIT 6.S191: Reinforcement Learning

MIT 6.S191: Reinforcement Learning

The real reason Elon Musk bought Twitter | Yanis Varoufakis on the future of capitalism

The real reason Elon Musk bought Twitter | Yanis Varoufakis on the future of capitalism

Self-Driving Cars: State of the Art (2019)

Self-Driving Cars: State of the Art (2019)

U of T Robotics Institute Seminar: Sergey Levine (UC Berkeley)

U of T Robotics Institute Seminar: Sergey Levine (UC Berkeley)

Graphs of Convex Sets with applications to optimal control and motion planning

Graphs of Convex Sets with applications to optimal control and motion planning

Как LLM могут хранить факты | Глава 7, Глубокое обучение

Как LLM могут хранить факты | Глава 7, Глубокое обучение

Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars

Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars

MIT 6.S094: Computer Vision

MIT 6.S094: Computer Vision

© 2025 ycliper. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]