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Parametric Rectified Linear Unit activation layer.
Inherits From: Layer
, Operation
tf.keras.layers.PReLU(
alpha_initializer='Zeros',
alpha_regularizer=None,
alpha_constraint=None,
shared_axes=None,
**kwargs
)
Formula:
f(x) = alpha * x for x < 0
f(x) = x for x >= 0
where alpha
is a learned array with the same shape as x.
Methods
from_config
@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
symbolic_call(
*args, **kwargs
)