MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 - Lecture 32: ImageNet is a Convolutional Neural Network (CNN), The Convolution Rule

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k Professor Strang begins the lecture talking about ImageNet, a large visual database used in visual object recognition software research. ImageNet is an example of a convolutional neural network (CNN). The rest of the lecture focuses on convolution. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu