MIT 6.S191: Convolutional Neural Networks
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 - Non-linearity and pooling
41:23 - End-to-end code example
43:21 - Applications
46:14 - Object detection
57:10 - End-to-end self driving cars
1:06:15 - Summary
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Видео MIT 6.S191: Convolutional Neural Networks канала Alexander Amini
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 - Non-linearity and pooling
41:23 - End-to-end code example
43:21 - Applications
46:14 - Object detection
57:10 - End-to-end 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 fully-connected!!
Видео MIT 6.S191: Convolutional Neural Networks канала Alexander Amini
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