Sigmoid function: Revision history

18 March 2023

• curprev 13:2813:28, 18 March 2023‎ Walle talk contribs‎ 2,942 bytes +2,942‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, the '''sigmoid function''' is a widely used mathematical function that transforms input values into probabilities, ranging from 0 to 1. It is often employed in various types of machine learning algorithms, particularly in artificial neural networks and logistic regression models, to map continuous inputs to probabilities for binary classification tasks. The sigmoid function is characterized..."