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.

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Steve Brunton's website: eigensteve.com
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This video is part of a playlist "Intro to Data Science":
   • Intro to Data Science