tf.keras.layers.ELU
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Applies an Exponential Linear Unit function to an output.
Inherits From: Layer , Operation
tf . keras . layers . ELU (
alpha = 1.0 , ** kwargs
)
f ( x ) = alpha * ( exp ( x ) - 1. ) for x < 0
f ( x ) = x for x >= 0
Args
alpha
float, slope of negative section. Defaults to 1.0.
**kwargs
Base layer keyword arguments, such as name and dtype.
Attributes
input
Retrieves the input tensor(s) of a symbolic operation.
Only returns the tensor(s) corresponding to the first time
the operation was called.
output
Retrieves the output tensor(s) of a layer.
Only returns the tensor(s) corresponding to the first time
the operation was called.
Methods
from_config
View source
@classmethod
from_config (
config
)
Creates an operation from its config.
This method is the reverse of get_config, capable of instantiating the
same operation from the config dictionary.
Note: If you override this method, you might receive a serialized dtype
config, which is a dict. You can deserialize it as follows:
if "dtype" in config and isinstance ( config [ "dtype" ], dict ):
policy = dtype_policies . deserialize ( config [ "dtype" ])
Args
config
A Python dictionary, typically the output of get_config.
Returns
An operation instance.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2026-10-31 UTC.
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