Methods › General › Activation Functions › Hardtanh Activation
Hardtanh Activation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Hardtanh is an activation function used for neural networks:
f(x) = -1 if x < - 1 f(x) = x if -1 ≤x ≤1 f(x) = 1 if x > 1
It is a cheaper and more computationally efficient version of the tanh activation.
Image Source: Zhuan Lan
Papers archive 2025-07-28
The archive tags no paper with this method.
Tasks archive 2025-07-28
The archive attaches no task to a paper tagged with this method.
Usage over time archive 2025-07-28
No dated papers to chart.
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections