| View source on GitHub |
Compute the Leaky ReLU activation function.
tf.nn.leaky_relu(
features, alpha=0.2, name=None
)
| 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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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/nn/leaky_relu