Softmax function converts real numbers to a probability distribution
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to write a fused softmax kernel in Triton: load row, compute max, subtract, exp, sum, divide
Softmax function converts real numbers to a probability distribution
The softmax function is crucial in neural networks as it normalizes the output to a probability distribution. This ensures that the output values are between 0 and 1 and sum up to 1, making it interpretable as probabilities.
Example
Given a vector [2, 1, 0.1], softmax will transform it to [0.659001137, 0.242432970, 0.098565893].
Remember this
Understanding softmax is essential for implementing neural networks that output probabilities for classification tasks.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
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Softmax converts real numbers into a probability distribution
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