tf.keras.ops.normalize
Normalizes x over the specified axis.
tf.keras.ops.normalize(
x, axis=-1, order=2
)
It is defined as: normalize(x) = x / max(norm(x), epsilon).
| Args | |
|---|---|
x | Input tensor. |
axis | The axis or axes along which to perform normalization. Default to -1. |
order | The exponent value in the norm formulation. Defaults to 2. |
| Returns | |
|---|---|
| The normalized array. |
Example:
x = keras.ops.convert_to_tensor([[1, 2, 3], [4, 5, 6]])
x_norm = keras.ops.math.normalize(x)
print(x_norm)
array([[0.26726124 0.5345225 0.8017837 ]
[0.45584232 0.5698029 0.68376344]], shape=(2, 3), dtype=float32)
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/ops/normalize
