Softmax activation function

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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}^n\exp(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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