View source on GitHub
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Hard sigmoid activation function.
tf.keras.activations.hard_sigmoid(
x
)
The hard sigmoid activation is defined as:
0 if if x <= -31 if x >= 3(x/6) + 0.5 if -3 < x < 3It's a faster, piecewise linear approximation of the sigmoid activation.
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x
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Input tensor. |
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Last updated 2024-06-07 UTC.