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Shuffling the labels independently in the samples (For example, building train/check splits with the labels and samples individually);There are a selection of variants on stochastic gradient descent which use momentum, adaptive Finding out costs, Nesterov updates etc to enhance upon vanilla SGD. Developing a greater optimizer is very much an Lively