Softmax Activation Function
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The softmax activation function is a neural transfer function. In neural networks, transfer functions calculate a layer''s output from its net input. It is a biologically plausible approximation to the maximum operation. Traditionally, the term neural network had been used to refer to a network or circuit of biological neurons. The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes.This article…mehr

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The softmax activation function is a neural transfer function. In neural networks, transfer functions calculate a layer''s output from its net input. It is a biologically plausible approximation to the maximum operation. Traditionally, the term neural network had been used to refer to a network or circuit of biological neurons. The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes.This article focuses on the relationship between the two concepts; for detailed coverage of the two different concepts refer to the separate articles: Biological neural network and Artificial neural network.