TensorFlow中权重的随机初始化的方法

yipeiwu_com5年前Python基础

一开始没看懂stddev是什么参数,找了一下,在tensorflow/python/ops里有random_ops,其中是这么写的:

def random_normal(shape, mean=0.0, stddev=1.0, dtype=types.float32,
         seed=None, name=None):
 """Outputs random values from a normal distribution.

 Args:
  shape: A 1-D integer Tensor or Python array. The shape of the output tensor.
  mean: A 0-D Tensor or Python value of type `dtype`. The mean of the normal
   distribution.
  stddev: A 0-D Tensor or Python value of type `dtype`. The standard deviation
   of the normal distribution.
  dtype: The type of the output.
  seed: A Python integer. Used to create a random seed for the distribution.
   See
   [`set_random_seed`](../../api_docs/python/constant_op.md#set_random_seed)
   for behavior.
  name: A name for the operation (optional).

 Returns:
  A tensor of the specified shape filled with random normal values.
 """

也就是按照正态分布初始化权重,mean是正态分布的平均值,stddev是正态分布的标准差(standard deviation),seed是作为分布的random seed(随机种子,我百度了一下,跟什么伪随机数发生器还有关,就是产生随机数的),在mnist/concolutional中seed赋值为66478,挺有意思,不知道是什么原理。

后面还有truncated_normal的定义:

def truncated_normal(shape, mean=0.0, stddev=1.0, dtype=types.float32,
           seed=None, name=None):
 """Outputs random values from a truncated normal distribution.

 The generated values follow a normal distribution with specified mean and
 standard deviation, except that values whose magnitude is more than 2 standard
 deviations from the mean are dropped and re-picked.

 Args:
  shape: A 1-D integer Tensor or Python array. The shape of the output tensor.
  mean: A 0-D Tensor or Python value of type `dtype`. The mean of the
   truncated normal distribution.
  stddev: A 0-D Tensor or Python value of type `dtype`. The standard deviation
   of the truncated normal distribution.
  dtype: The type of the output.
  seed: A Python integer. Used to create a random seed for the distribution.
   See
   [`set_random_seed`](../../api_docs/python/constant_op.md#set_random_seed)
   for behavior.
  name: A name for the operation (optional).

 Returns:
  A tensor of the specified shape filled with random truncated normal values.
 """

截断正态分布,以前都没听说过。

TensorFlow还提供了平均分布等。

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

python给图像加上mask,并提取mask区域实例

python给图像加上mask,并提取mask区域实例

python对图像提取mask部分: 代码: #coding:utf-8 import os import cv2 import numpy as np def add_mask2...

Python函数可变参数定义及其参数传递方式实例详解

本文实例讲述了Python函数可变参数定义及其参数传递方式。分享给大家供大家参考。具体分析如下: python中 函数不定参数的定义形式如下: 1、func(*args) 传入的参数为以...

Linux下升级安装python3.8并配置pip及yum的教程

Linux下升级安装python3.8并配置pip及yum的教程

服务器的CentOS 7中自带的python版本是python-2.7.5,需要再安装一个 python-3.8.1 一、查看版本 安装前查看一下是否已经安装过python,我...

Python实现带参数的用户验证功能装饰器示例

本文实例讲述了Python实现带参数的用户验证功能装饰器。分享给大家供大家参考,具体如下: user_list = [ {'name': 'sb1', 'passwd': '12...

Python Opencv实现图像轮廓识别功能

Python Opencv实现图像轮廓识别功能

本文实例为大家分享了python opencv识别图像轮廓的具体代码,供大家参考,具体内容如下 要求:用矩形或者圆形框住图片中的云朵(不要求全部框出) 轮廓检测 Opencv-Pyth...