docs: add examples for random_uniform, random_normal and random_binomial in tf.keras.backend
closes #31277
diff --git a/tensorflow/python/keras/backend.py b/tensorflow/python/keras/backend.py
index f83ed74..54b1df1 100644
--- a/tensorflow/python/keras/backend.py
+++ b/tensorflow/python/keras/backend.py
@@ -5653,6 +5653,13 @@
Returns:
A tensor with normal distribution of values.
+
+ Example:
+
+ >>> kvar = tf.keras.backend.random_normal((2,3), 0, 1)
+ >>> kvar
+ <tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
+ dtype=float32)>
"""
if dtype is None:
dtype = floatx()
@@ -5677,6 +5684,13 @@
Returns:
A tensor.
+
+ Example:
+
+ >>> kvar = tf.keras.backend.random_uniform((2,3), 0, 1)
+ >>> kvar
+ <tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
+ dtype=float32)>
"""
if dtype is None:
dtype = floatx()
@@ -5702,6 +5716,13 @@
Returns:
A tensor.
+
+ Example:
+
+ >>> kvar = tf.keras.backend.random_binomial((2,3), 0.5)
+ >>> kvar
+ <tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
+ dtype=float32)>
"""
if dtype is None:
dtype = floatx()
