Uploaded March 2023 | Updated September 2026, 2 weeks ago
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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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
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
