Generalized activation function for machine learning
The invention relates to a generalized activation function for machine learning. A machine learning model is provided in which each activation node within the model has an adaptive activation function defined by inputs and hyper-parameters of the model. Thus, each activation node may have a separate...
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Format: | Patent |
Sprache: | chi ; eng |
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