MIT 6.S191 (2023): Convolutional Neural Networks

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: 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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