tf.keras.layers.Activation
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Applies an activation function to an output.
Inherits From: Layer
tf.keras.layers.Activation(
activation, **kwargs
)
Arguments |
|---|
activation
|
Activation function, such as tf.nn.relu, or string name of
built-in activation function, such as "relu".
|
Arbitrary. Use the keyword argument input_shape
(tuple of integers, does not include the samples axis)
when using this layer as the first layer in a model.
Output shape:
Same shape as input.
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.layers.Activation\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/layers/Activation) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/layers/core.py#L342-L372) |\n\nApplies an activation function to an output.\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer)\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.layers.Activation`](/api_docs/python/tf/keras/layers/Activation), \\`tf.compat.v2.keras.layers.Activation\\`\n\n\u003cbr /\u003e\n\n tf.keras.layers.Activation(\n activation, **kwargs\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|--------------|-----------------------------------------------------------------------------------------------------------------------------------|\n| `activation` | Activation function, such as [`tf.nn.relu`](../../../tf/nn/relu), or string name of built-in activation function, such as \"relu\". |\n\n\u003cbr /\u003e\n\n#### Input shape:\n\nArbitrary. Use the keyword argument `input_shape`\n(tuple of integers, does not include the samples axis)\nwhen using this layer as the first layer in a model.\n\n#### Output shape:\n\nSame shape as input."]]
TensorFlow 2 version
View source on GitHub