tf.keras.backend.set_learning_phase
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Sets the learning phase to a fixed value. (deprecated)
tf . keras . backend . set_learning_phase (
value
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2020-10-11.
Instructions for updating:
Simply pass a True/False value to the training
argument of the __call__
method of your layer or model.
The backend learning phase affects any code that calls
backend.learningphase()
In particular, all Keras built-in layers use the learning phase as the default
for the training
arg to <a href="../../../tf/keras/layers/Layer#call ">Layer.
call _.
User-written layers and models can achieve the same behavior with code that
looks like:
def call ( self , inputs , training = None ):
if training is None :
training = backend . learning_phase ()
Arguments
value
Learning phase value, either 0 or 1 (integers).
0 = test, 1 = train
Raises
ValueError
if value
is neither 0
nor 1
.
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.
Last updated 2020-10-01 UTC.
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