tf.keras.ops.normalize

Normalizes x over the specified axis.

View aliases

Main aliases

tf.keras.ops.nn.normalize

tf.keras.ops.normalize(
    x, axis=-1, order=2, epsilon=None
)

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.
epsilon	A lower bound value for the norm. Defaults to backend.epsilon().

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)