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The Intrinsic Geometries of Learning

Published on 2008-12-055588 Views

In a seminal paper, Amari (1998) proved that learning can be made more efcient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to point the gradient towards be

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