Softmax activation function

Softmax activation function

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 represented as:

p_i = frac{exp(q_i)}{Sigma_{j=1}^nexp(q_j)}

Where "p" is the value of an output node, "q" is the net input to an output node, and "n" is the number of output nodes.


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