Sigmoid Function
Neural Networks
S-shaped activation: 1/(1+e^-x)
What is Sigmoid Function?
Squashes input to range (0,1). Used for probabilities, but suffers from vanishing gradient.
Real-World Examples
- •Binary classification output
- •Gate activations in LSTM
- •Logistic regression
When to Use This
Output layer for binary classification
Related Terms
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