AMAZON
MIT Introduction to Deep Learning 6.S191: Lecture 3
Convolutional Neural Networks for Computer Vision
Lecturer: Alexander Amini
2023 Edition
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline
0:00 – Introduction
2:37 – Amazing applications of vision
5:35 – What computers “see”
12:38- Learning visual features
17:51 – Feature extraction and convolution
22:23 – The convolution operation
27:30 – Convolution neural networks
34:29 – Non-linearity and pooling
40:07 – End-to-end code example
41:23 – Applications
43:18 – Object detection
51:36 – End-to-end self driving cars
54:08 – Summary
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