training
Sigmoid
An activation function that maps any input to a value between 0 and 1, following an S-shaped curve. Sigmoid is commonly used for binary classification outputs and gating mechanisms in neural networks like LSTMs.
In practice
A sigmoid output of 0.85 can be interpreted as 85% confidence that an email is spam.