Neural Network Architectures & Deep Learning

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

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