This class is an introduction to the practice of deep learning through the applied theme of building a self-driving car. It is open to beginners and is designed for those who are new to machine learning, but it can also benefit advanced researchers in the field looking for a practical overview of deep learning methods and their application.
Overview
Syllabus
- Lecture 1: Introduction to Deep Learning and Self-Driving Cars
[ Slides ] - [ Lecture Video ] - Lecture 2: Deep Reinforcement Learning for Motion Planning
[ Slides ] - [ Lecture Video ] - Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task
[ Slides ] - [ Lecture Video ] - Lecture 4: Recurrent Neural Networks for Steering through Time
[ Slides ] - [ Lecture Video ] - Lecture 5: Deep Learning for Human-Centered Semi-Autonomous Vehicles
[ Slides ] - [ Lecture Video ]
Taught by
Lex Fridman
