Thresholded ReLU#
A version of the ReLU function that activates only if the input is above some user-specified threshold level.
\[
{\displaystyle ThresholdedReLU = {\begin{aligned}&{\begin{cases}0&{\text{if }}x\leq \theta \\x&{\text{if }}x>\theta\end{cases}}\end{aligned}}}
\]
Parameters#
| # | Name | Default | Type | Description |
|---|---|---|---|---|
| 1 | threshold | 1.0 | float | The threshold at which the neuron is activated. |
Example#
use Rubix\ML\NeuralNet\ActivationFunctions\ThresholdedReLU;
$activationFunction = new ThresholdedReLU(0.5);
References#
-
K. Konda et al. (2015). Zero-bias autoencoders and the benefits of co-adapting features. ↩