Web7 Nov 2024 · 一:AttributeError: ‘module’ object has no attribute ‘truncated_normal’ tensorflow2.0中修改了这个函数名,因此会报错。 正态分布这个函数truncated_normal() … Web可见,X落在(μ-2σ,μ+2σ)以外的概率比较小,因此可以使用tf.truncated_normal生成在均值附近的随机数来初始化张量。如果x的取值在区间(μ-2σ,μ+2σ)之外则重新进行选择 …
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Web8 May 2016 · 48. I can find two main differences between one and the other: First is that tf.Variable will always create a new variable, whereas tf.get_variable gets an existing variable with specified parameters from the graph, and if it doesn't exist, creates a new one. tf.Variable requires that an initial value be specified. Web16 May 2024 · tf.truncated_normal(shape, mean, stddev) :shape表示生成张量的维度,mean是均值,stddev是标准差。这个函数产生正太分布,均值和标准差自己设定。这 … graham johnson linkedin
pytorch 实现truncnormal函数的问题 - 知乎 - 知乎专栏
Web17 Jun 2024 · tf版本1.13.1,CPU 最近在tf里新学了一个函数,一查发现和tf.random_normal差不多,于是记录一下。 1、首先是tf.truncated_normal函数 shape是 … Web5 Nov 2024 · Tensorflow2.3中 tf.random.truncated_normal 截断正态分布函数. m0_63218004: 楼主大大,请问tf.truncated_normal与tf.random.truncated_normal用法一 … Web24 Oct 2016 · I am trying to use the normal distribution to calculate random numbers. tf.truncated_normal(shape, stddev=0.1,seed=1, mean=0) but the numbers I get are floating points with many digits after the decimal, like this:0.14845988. Is there a way to make it generate numbers as int, and in a given range like [min, max]? graham jackson-pitt