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Table 1 Parameters for the MLP classifier included in scikit-learn0.18.1. These are the same as commonly used values. See Kingma and Ba (2015) for the meanings of the parameters for the Adam optimizer

From: Segmentation of dust storm areas on Mars images using principal component analysis and neural network

Parameter Value
Penalty for regularization 0.0001
Batch size 200
Tolerance of optimization 10−4
Whether to shuffle samples in each iteration True
Whether to use early stopping to terminate training when the validation score is not improving False
β1 for adam 0.9
β2 for adam 0.999
ϵ for adam 10−8