tf.keras.backend.variable
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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:
val = np.array([[1, 2], [3, 4]])
kvar = tf.keras.backend.variable(value=val, dtype='float64',
name='example_var')
tf.keras.backend.dtype(kvar)
'float64'
print(kvar)
<tf.Variable 'example_var:...' shape=(2, 2) dtype=float64, numpy=
array([[1., 2.],
[3., 4.]])>
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Last updated 2020-10-01 UTC.
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TensorFlow 1 version
View source on GitHub