tf.keras.backend.set_learning_phase

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

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tf.compat.v1.keras.backend.set_learning_phase

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.