Optimizers
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Optimizer that updates a neural network along its gradients
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Swift
public protocol Optimizer
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Adam optimizer (Adaptive moment estimation)
Follows Kingma et al. - Adam: A method for stochastic optimization
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Adagrad optimizer
Follows Duchi et al - Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
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Root mean square optimizer
Unpublished, proposed by Geoffrey Hinton - Neural Networks for Machine Learning
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