tf.keras.activations.deserialize
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Returns activation function denoted by input string.
tf.keras.activations.deserialize(
name, custom_objects=None
)
Returns |
|---|
|
TensorFlow Activation function denoted by input string.
|
For example:
tf.keras.activations.deserialize('linear')
<function linear at 0x1239596a8>
tf.keras.activations.deserialize('sigmoid')
<function sigmoid at 0x123959510>
tf.keras.activations.deserialize('abcd')
Traceback (most recent call last):
ValueError: Unknown activation function:abcd
Args |
|---|
name
|
The name of the activation function.
|
custom_objects
|
A {name:value} dictionary for activations not build into
keras.
|
Raises |
|---|
ValueError
|
Unknown activation function if the input string does not
denote any defined Tensorflow activation function.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.activations.deserialize\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/activations/deserialize) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/keras/activations.py#L388-L422) |\n\nReturns activation function denoted by input string.\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.deserialize`](/api_docs/python/tf/keras/activations/deserialize)\n\n\u003cbr /\u003e\n\n tf.keras.activations.deserialize(\n name, custom_objects=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-----|--------|\n| `x` | String |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| TensorFlow Activation function denoted by input string. ||\n\n\u003cbr /\u003e\n\n#### For example:\n\n tf.keras.activations.deserialize('linear')\n \u003cfunction linear at 0x1239596a8\u003e\n tf.keras.activations.deserialize('sigmoid')\n \u003cfunction sigmoid at 0x123959510\u003e\n tf.keras.activations.deserialize('abcd')\n Traceback (most recent call last):\n\n ValueError: Unknown activation function:abcd\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------|-----------------------------------------------------------------|\n| `name` | The name of the activation function. |\n| `custom_objects` | A {name:value} dictionary for activations not build into keras. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|---------------------------------------------------------------------------------------------------------------|\n| `ValueError` | `Unknown activation function` if the input string does not denote any defined Tensorflow activation function. |\n\n\u003cbr /\u003e"]]
TensorFlow 1 version
View source on GitHub