MIT Introduction to Deep Learning 6.S191: Lecture 3
Convolutional Neural Networks for Computer Vision
Lecturer: Alexander Amini
January 2020
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline
0:00 - Introduction
3:04 - What computers "see"
8:06 - Learning visual features
12:36 - Feature extraction and convolution
19:12 - Convolution neural networks
24:03 - Non-linearity and pooling
28:30 - Code example
29:32 - Applications
32:53 - End-to-end self driving cars
35:55 - Summary
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