Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.
Abstract: In deep learning, hyperparameters can severely affect the learning model performance. The Nelder-Mead (NM) method is known for showing a superior performance for hyperparameter optimization ...
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