tf.keras.layers.ELU

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

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.