tf.keras.activations.softsign
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Softsign activation function, softsign(x) = x / (abs(x) + 1).
tf.keras.activations.softsign(
x
)
Example Usage:
a = tf.constant([-1.0, 0.0, 1.0], dtype = tf.float32)
b = tf.keras.activations.softsign(a)
b.numpy()
array([-0.5, 0. , 0.5], dtype=float32)
Arguments |
|---|
x
|
Input tensor.
|
Returns |
|---|
The softsign activation: x / (abs(x) + 1).
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.activations.softsign\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/activations/softsign) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.3.0/tensorflow/python/keras/activations.py#L212-L230) |\n\nSoftsign activation function, `softsign(x) = x / (abs(x) + 1)`.\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.softsign`](/api_docs/python/tf/keras/activations/softsign)\n\n\u003cbr /\u003e\n\n tf.keras.activations.softsign(\n x\n )\n\n#### Example Usage:\n\n a = tf.constant([-1.0, 0.0, 1.0], dtype = tf.float32)\n b = tf.keras.activations.softsign(a)\n b.numpy()\n array([-0.5, 0. , 0.5], dtype=float32)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-----|---------------|\n| `x` | Input tensor. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The softsign activation: `x / (abs(x) + 1)`. ||\n\n\u003cbr /\u003e"]]
TensorFlow 1 version
View source on GitHub