Softmax

The Softmax output function transforms a previous layer’s output into a vector of probabilities. It is commonly used for multi-class classification. Given an input vector $x$ and a weighting vector $w$ we have:

$$P(y=j|x)=\frac{e^{x^T{w}_j}}{{\sum }_{k=1}^K{e}^{x^T{w}_k}}$$

References

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