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 This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company