稀土 2018-01-10
这门课主要通过实际上手自动驾驶汽车项目来讲述深度学习的实践和应用,主要面向初学者,专为机器学习新手设计,但该领域的高级研究人员也可以通过这个课程对深度学习以及其应用有一个更完整的全面总结和理解。
如果你对这个课程感兴趣,以下几点可能会比较有用:1. 在网站上注册一个帐户,以确保你能跟进最新课程。课程免费,向公众开放。如果您是麻省理工学院的学生,想要获得学分,请在此注册。
2. 两种方法加入我们的Slack:使用MIT学院邮箱注册受邀注册3. 2017年的课程演讲和嘉宾讲座
4.如果您有任何疑问,请查看FAQMIT 6.S094: Deep Learning for Self-Driving Cars是一个前沿领域的研究课程,课程研究小组包括:
Lecture 1: Introduction to Deep Learning and Self-Driving Cars [课件地址演讲视频]
Lecture 2: Deep Reinforcement Learning for Motion Planning [课件地址演讲视频]
Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task [课件地址演讲视频]
Lecture 4: Recurrent Neural Networks for Steering through Time [课件地址演讲视频]
Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles [课件地址演讲视频]
Extra: MIT Sloan: Intro to Machine Learning (in 360/VR)[课件地址演讲视频]
主题 1:Technology, Policy and Vehicle Safety in the Age of AI [演讲视频]
Chris Gerdes
Professor Stanford
主题 2:Past, Present, and Future of Motion Planning in a Complex World [演讲视频]
Sertac Karaman
Professor, MIT
主题 3:From Research to Reality: Testing Self-Driving Cars on Public Roads [演讲视频]
Karl Iagnemma
CEO, nuTonomy and Research Scientist, MIT
主题 4:Self-Driving Vehicles, SLAM, and Deep Learning [演讲视频]
John Leonard
Professor, MIT
主题 5:We Only Adopt What We Trust: Policy and the Business of Autonomy [演讲视频]
Eric Daimler
White House Presidential Innovation Fellow, Office of Science and Technology Policy