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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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