A new forward-pass algorithm computes exact n-th derivatives of deep networks in time linear in network size, avoiding repeated autodifferentiation.
B IASI , Self-similar solutions to the compressible euler equations and their instabilities, Communications in Nonlinear Science and Numerical Simulation, 103 (2021), p
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A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks
A new forward-pass algorithm computes exact n-th derivatives of deep networks in time linear in network size, avoiding repeated autodifferentiation.