tf.keras.backend.variable

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Instantiates a variable and returns it.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.variable, `tf.compat.v2.keras.backend.variable`

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

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:

import numpy as np
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.]])