Model Discovery with Autoencoders - Data-Driven Dynamics | Lecture 27
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Model Discovery with Autoencoders - Data-Driven Dynamics | Lecture 27
In this final lecture of the series, we explore the cutting-edge use of autoencoders to learn and analyze the dynamics of complex systems. Autoencoders are shown to not only perform dimensionality reduction but also to intelligently warp the data, revealing low-dimensional structures that optimally capture the system’s behavior. We ...
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