MIT 6.S191 (2021): Convolutional Neural Networks @AAmini
MIT 6.S191 (2021): Convolutional Neural Networks @AAmini
Uploaded February 2021 | Updated September 2026, 2 weeks ago
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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Alexander Amini |

MIT 6.S191 (2021): Convolutional Neural Networks

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