Softmax is a mathematical function that converts a vector of numbers into a probability distribution, where the probabilities of each element are proportional to the exponentials of the original numbers. This function is particularly useful in artificial neural networks as it is commonly applied to the output layer, allowing the model to predict multiple classes and interpret the results as probabilities that sum to one.
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