Neural Network Architectures & Deep Learning Overview
Explore various neural network architectures used in science and engineering, including convolutional networks and more. 🤖
Steve Brunton
843.6K views • Jun 6, 2019
About this video
This video describes the variety of neural network architectures available to solve various problems in science ad engineering. Examples include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders.
Book website: http://databookuw.com/
Steve Brunton's website: eigensteve.com
Follow updates on Twitter @eigensteve
This video is part of a playlist "Intro to Data Science":
https://www.youtube.com/playlist?list=PLMrJAkhIeNNQV7wi9r7Kut8liLFMWQOXn
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
Book website: http://databookuw.com/
Steve Brunton's website: eigensteve.com
Follow updates on Twitter @eigensteve
This video is part of a playlist "Intro to Data Science":
https://www.youtube.com/playlist?list=PLMrJAkhIeNNQV7wi9r7Kut8liLFMWQOXn
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
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Video Information
Views
843.6K
Likes
28.7K
Duration
9:09
Published
Jun 6, 2019
User Reviews
4.8
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