tf.nn.leaky_relu
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Compute the Leaky ReLU activation function.
tf.nn.leaky_relu(
features, alpha=0.2, name=None
)
Source: Rectifier Nonlinearities Improve Neural Network Acoustic Models.
AL Maas, AY Hannun, AY Ng - Proc. ICML, 2013.
Args |
|---|
features
|
A Tensor representing preactivation values. Must be one of
the following types: float16, float32, float64, int32, int64.
|
alpha
|
Slope of the activation function at x < 0.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
|
The activation value.
|
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Last updated 2023-03-23 UTC.
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View source on GitHub
