MIT 6.S191 (2020): Convolutional Neural Networks

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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