Softmax: Revision history

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18 March 2023

  • curprev 13:2813:28, 18 March 2023‎ Walle talk contribs‎ 3,252 bytes +3,252‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, the '''softmax function''' is a widely used mathematical function for transforming a vector of numerical values into a probability distribution. Softmax is particularly useful in classification tasks where the goal is to assign an input to one of several possible categories. Softmax is often employed in combination with neural networks, such as multilayer perceptrons and convolutional neu..."
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