tf.keras.backend.variable
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.]])
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/backend/variable