tf.keras.backend.random_binomial
Stay organized with collections
Save and categorize content based on your preferences.
Returns a tensor with random binomial distribution of values. (deprecated)
tf.keras.backend.random_binomial(
shape, p=0.0, dtype=None, seed=None
)
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.
|
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)>
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.random_binomial\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/backend/random_binomial) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.3.0/tensorflow/python/keras/backend.py#L5855-L5890) |\n\nReturns a tensor with random binomial distribution of values. (deprecated)\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.backend.random_binomial`](/api_docs/python/tf/keras/backend/random_binomial)\n\n\u003cbr /\u003e\n\n tf.keras.backend.random_binomial(\n shape, p=0.0, dtype=None, seed=None\n )\n\n| **Warning:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use [`tf.keras.backend.random_bernoulli`](../../../tf/keras/backend/random_bernoulli) instead.\n\nDEPRECATED, use [`tf.keras.backend.random_bernoulli`](../../../tf/keras/backend/random_bernoulli) instead.\n\nThe binomial distribution with parameters `n` and `p` is the probability\ndistribution of the number of successful Bernoulli process. Only supports\n`n` = 1 for now.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------|----------------------------------------------------------------|\n| `shape` | A tuple of integers, the shape of tensor to create. |\n| `p` | A float, `0. \u003c= p \u003c= 1`, probability of binomial distribution. |\n| `dtype` | String, dtype of returned tensor. |\n| `seed` | Integer, random seed. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\n random_binomial_tensor = tf.keras.backend.random_binomial(shape=(2,3),\n p=0.5)\n random_binomial_tensor\n \u003ctf.Tensor: shape=(2, 3), dtype=float32, numpy=...,\n dtype=float32)\u003e"]]