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Update docstring for keras.backend.random_normal

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PiperOrigin-RevId: 296511370
Change-Id: Iec3df61339ea35a3f2d683959067fea5f44012cc
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Scott Zhu 2020-02-21 14:24:46 -08:00 committed by TensorFlower Gardener
parent 8f04d92daf
commit f28581b01a
1 changed files with 11 additions and 6 deletions
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17
tensorflow/python/keras/backend.py
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@ -5664,16 +5664,21 @@ def bias_add(x, bias, data_format=None):
def random_normal(shape, mean=0.0, stddev=1.0, dtype=None, seed=None):
"""Returns a tensor with normal distribution of values.
It is an alias to `tf.random.normal`.
Arguments:
shape: A tuple of integers, the shape of tensor to create.
mean: A float, mean of the normal distribution to draw samples.
stddev: A float, standard deviation of the normal distribution
to draw samples.
dtype: String, dtype of returned tensor.
seed: Integer, random seed.
mean: A float, the mean value of the normal distribution to draw samples.
Default to 0.0.
stddev: A float, the standard deviation of the normal distribution
to draw samples. Default to 1.0.
dtype: `tf.dtypes.DType`, dtype of returned tensor. Default to use Keras
backend dtype which is float32.
seed: Integer, random seed. Will use a random numpy integer when not
specified.
Returns:
A tensor.
A tensor with normal distribution of values.
"""
if dtype is None:
dtype = floatx()