tf.keras.backend.random_binomial

Returns a tensor with random binomial distribution of values. (deprecated)

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tf.compat.v1.keras.backend.random_binomial

tf.keras.backend.random_binomial(
    shape, p=0.0, dtype=None, seed=None
)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.keras.backend.random_bernoulli instead.

DEPRECATED, use tf.keras.backend.random_bernoulli instead.

The binomial distribution with parameters n and p is the probability distribution of the number of successful Bernoulli process. Only supports n = 1 for now.

Arguments
shape	A tuple of integers, the shape of tensor to create.
p	A float, 0. <= p <= 1, probability of binomial distribution.
dtype	String, dtype of returned tensor.
seed	Integer, random seed.

Returns
A tensor.

Example:

random_binomial_tensor = tf.keras.backend.random_binomial(shape=(2,3),
p=0.5)
random_binomial_tensor
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
dtype=float32)>