tf.keras.backend.random_uniform

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Returns a tensor with uniform distribution of values.

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Compat aliases for migration

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tf.compat.v1.keras.backend.random_uniform

tf.keras.backend.random_uniform(
    shape, minval=0.0, maxval=1.0, dtype=None, seed=None
)

Arguments
shape	A tuple of integers, the shape of tensor to create.
minval	A float, lower boundary of the uniform distribution to draw samples.
maxval	A float, upper boundary of the uniform distribution to draw samples.
dtype	String, dtype of returned tensor.
seed	Integer, random seed.

Returns
A tensor.

Example:

random_uniform_tensor = tf.keras.backend.random_uniform(shape=(2,3),
minval=0.0, maxval=1.0)
random_uniform_tensor
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
dtype=float32)>