A Gradient Descent Trust Region Optimizer

  • Brooks R
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Abstract

This document describes a new simple gradient descent optimizer which is a potential replacement or supplement for RegularStepGradientDescentOptimizer. The optimizer requires only the gradient of the parameters and uses a simple linear model internally. However, it follows the theoretical basis of a trust-region algorithm and is able to achieve greater efficiency on certain image registration cases.

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APA

Brooks, R. (2022). A Gradient Descent Trust Region Optimizer. The Insight Journal. https://doi.org/10.54294/f5gzka

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