Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities Paul J. Werbos1 Abstract Backwards calculation of derivatives – sometimes called the reverse mode, the full adjoint method, or backpropa - Differentiation - Document - PDFSEARCH.IO

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	Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities Paul J. Werbos1 Abstract Backwards calculation of derivatives – sometimes called the reverse mode, the full adjoint method, or backpropa Add to Reading List Document Date: 2010-09-13 16:46:32 Open Document File Size: 165,27 KB Share Result on Facebook

Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities Paul J. Werbos1 Abstract Backwards calculation of derivatives – sometimes called the reverse mode, the full adjoint method, or backpropaAdd to Reading List