What is an optimizer?
A specific implementation of the gradient descent algorithm.
optimizer explained in plain English
A specific implementation of the gradient descent algorithm. Popular optimizers include: - AdaGrad, which stands for ADAptive GRADient descent. - Adam, which stands for ADAptive with Momentum.
Example
Practitioners refer to optimizer when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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A sophisticated gradient descent algorithm that rescales the gradients of each parameter, effectively giving each parameter an independent learning rate.
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