Presentation
High-order Differentiable Autoencoder for Nonlinear Model Reduction
SessionTechnical Papers
Event Type
Technical Paper
Research & Education
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DescriptionCombing BP, we show that complex-step finite difference can be used for computing high-order differentiation of a deep net. This new method allows a new autoencoder-based nonlinear model reduction.
