Systems and methods for training matrix-based differentiable programs
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United States of America Patent
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Oct 18, 2022
Grant Date -
Oct 22, 2020
app pub date -
Jun 29, 2020
filing date -
May 15, 2018
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Abstract
Methods and apparatus for training a matrix-based differentiable program using a photonics-based processor. The matrix-based differentiable program includes at least one matrix-valued variable associated with a matrix of values in a Euclidean vector space. The method comprises configuring components of the photonics-based processor to represent the matrix of values as an angular representation, processing, using the components of the photonics-based processor, training data to compute an error vector, determining in parallel, at least some gradients of parameters of the angular representation, wherein the determining is based on the error vector and a current input training vector, and updating the matrix of values by updating the angular representation based on the determined gradients.
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