Instantiates a variable and returns it.
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.]])
TensorFlow 2 version
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