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
)

Formula:

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

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@classmethod
from_config(
    config
)

Creates a layer from its config.

This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).

Args
config	A Python dictionary, typically the output of get_config.

Returns
A layer instance.

symbolic_call

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symbolic_call(
    *args, **kwargs
)