TensorFlow学习笔记(18)random_ops.random_normal浅析

2023年12月3日 439次阅读 来源: 谢昆明

随机正态分布

tf.random.normal(
    shape,
    mean=0.0,
    stddev=1.0,
    dtype=tf.float32,
    seed=None,
    name=None
)
  • shape: A 1-D integer Tensor or Python array. The shape of the output tensor.
    输出张量的形状，必选
  • mean: A 0-D Tensor or Python value of type dtype. The mean of the normal distribution.
    正态分布的均值，默认为0
  • stddev: A 0-D Tensor or Python value of type dtype. The standard deviation of the normal distribution.
    正态分布的标准差，默认为1.0
  • dtype: The type of the output.
  • seed: A Python integer. Used to create a random seed for the distribution. See tf.set_random_seed for behavior.
  • name: A name for the operation (optional).
    原文作者：谢昆明
    原文地址: https://www.jianshu.com/p/7d515ab8eb94
    本文转自网络文章，转载此文章仅为分享知识，如有侵权，请联系博主进行删除。
点赞