softmax function

The softmax function is a mathematical function that takes as input a vector of real numbers and outputs a vector of probabilities. It is commonly used in machine learning to convert the scores or logits of multiple classes into a probability distribution, where the sum of all probabilities equals 1. The softmax function highlights the relative differences between the input values, making the largest value close to 1 and the remaining values closer to 0.

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