/TensorFlow 2.3


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Sets the learning phase to a fixed value. (deprecated)

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()
value Learning phase value, either 0 or 1 (integers). 0 = test, 1 = train
ValueError if value is neither 0 nor 1.

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