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​ Nonlinearity and pooling
41:23 Endtoend code example
43:21​ Applications
46:14 Object detection
57:10 Endtoend self driving cars
1:06:15​ Summary

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fullyconnected!!