tf.keras.backend.variable

tf.keras.backend.variable(
    value,
    dtype=None,
    name=None,
    constraint=None
)

Defined in tensorflow/python/keras/_impl/keras/backend.py.

Instantiates a variable and returns it.

Arguments:

  • value: Numpy array, initial value of the tensor.
  • dtype: Tensor type.
  • name: Optional name string for the tensor.
  • constraint: Optional projection function to be applied to the variable after an optimizer update.

Returns:

A variable instance (with Keras metadata included).

Examples: python >>> from keras import backend as K >>> val = np.array([[1, 2], [3, 4]]) >>> kvar = K.variable(value=val, dtype='float64', name='example_var') >>> K.dtype(kvar) 'float64' >>> print(kvar) example_var >>> kvar.eval() array([[ 1., 2.], [ 3., 4.]])