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SoftAdam: Unifying SGD and Adam for better stochastic gradient descent
Abstract Stochastic gradient descent (SGD) and Adam are commonly used to optimize deep neural networks, but choosing one usually means making tradeoffs between speed, accuracy and stability.
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