📕 subnode [[@KGBicheno/sigmoid_function]]
in 📚 node [[sigmoid_function]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Sigmoid_Function.md by @KGBicheno
sigmoid function
Go back to the [[AI Glossary]]
A function that maps logistic or multinomial regression output (log odds) to probabilities, returning a value between 0 and 1. The sigmoid function has the following formula:
where $\sigma$ in logistic regression problems is simply:
In other words, the sigmoid function converts
into a probability between 0 and 1.
In some neural networks, the sigmoid function acts as the activation function.
📖 stoas
- public document at doc.anagora.org/sigmoid_function
- video call at meet.jit.si/sigmoid_function