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VisualizationsNeural Networks & How They Learn

Activation Functions

Slide the input along the S-shaped sigmoid curve. However large or small the input, the output always lands between 0 and 1.

Sigmoid

σ(x) = 1 / (1 + e⁻ˣ) — squeezes everything into (0, 1).

x0.5
σ(0.5) = 0.622
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