MIT 6.S191: Convolutional Neural Networks
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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Видео MIT 6.S191: Convolutional Neural Networks канала Alexander Amini
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
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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