tf.keras.activations.elu
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Exponential linear unit.
tf.keras.activations.elu(
x, alpha=1.0
)
Arguments |
|---|
x
|
Input tensor.
|
alpha
|
A scalar, slope of negative section.
|
Returns |
|---|
The exponential linear activation: x if x > 0 and
alpha * (exp(x)-1) if x < 0.
|
Reference:
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.activations.elu\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/activations/elu) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.1.0/tensorflow/python/keras/activations.py#L82-L98) |\n\nExponential linear unit.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.activations.elu`](/api_docs/python/tf/keras/activations/elu)\n\n\u003cbr /\u003e\n\n tf.keras.activations.elu(\n x, alpha=1.0\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------|--------------------------------------|\n| `x` | Input tensor. |\n| `alpha` | A scalar, slope of negative section. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The exponential linear activation: `x` if `x \u003e 0` and `alpha * (exp(x)-1)` if `x \u003c 0`. ||\n\n\u003cbr /\u003e\n\n#### Reference:\n\n- [Fast and Accurate Deep Network Learning by Exponential\n Linear Units (ELUs)](https://arxiv.org/abs/1511.07289)"]]
TensorFlow 1 version
View source on GitHub
