MIT Introduction to Deep Learning 6.S191: Lecture 3
Convolutional Neural Networks for Computer Vision
Lecturer: Alexander Amini
* New 2024 Edition *

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline
0:00​ - Introduction
2:45​ - Amazing applications of vision
4:56 - What computers "see"
13:09- Learning visual features
18:53​ - Feature extraction and convolution
22:12 - The convolution operation
28:38​ - Convolution neural networks
37:10​ - Non-linearity and pooling
41:23 - End-to-end code example
43:21​ - Applications
46:14 - Object detection
57:10 - End-to-end self driving cars
1:06:15​ - Summary

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