TensorFlow 1 version
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View source on GitHub
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Sets the learning phase to a fixed value. (deprecated)
tf.keras.backend.set_learning_phase(
value
)
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.
|
TensorFlow 1 version
View source on GitHub