MIT 6.S191 (2021): Convolutional Neural Networks

MIT Introduction to Deep Learning 6.S191: Lecture 3
Convolutional Neural Networks for Computer Vision
Lecturer: Alexander Amini
January 2021

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

Lecture Outline
0:00​ – Introduction
2:47​ – Amazing applications of vision
7:56 – What computers “see”
14:02 – Learning visual features
18:50​ – Feature extraction and convolution
22:20 – The convolution operation
27:27​ – Convolution neural networks
34:05​ – Non-linearity and pooling
38:59 – End-to-end code example
40:25​ – Applications
42:02 – Object detection
50:52 – End-to-end self driving cars
54:00​ – Summary

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