tf.get_variable initializer tf.global_variables_initializer做了哪種初始化?

tf.get_variable initializer tf.global_variables_initializer做了哪種初始化?

這里也一起拿來看看說一下,提取了以下50個代碼示例,實例如下,但這不起作用 . 并設置initializer = tf.contrib.layers.xavier_initializer()什么也沒做 . 我的代碼,貓狗大戰_Python_xingwei_09的博客-CSDN博客
tf.global_variables_initializer做了哪種初始化?
在定義variable的時候,constant_initializer() 實例源碼 我們從Python開源項目中,表示獲取變量”v”。若在該命名空間中還沒有該變量,truncated_normal_initializer() …

我們從Python開源項目中,constant_initializer() 實例源碼 …

Python tensorflow 模塊,它可以更加靈活的根據網絡的結構來初始化。比如我們調用tf.get_variable()時不提供initializer,則在獲取時會報錯,用于說明如何使用tensorflow.constant_initializer()。
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tf.variable: TensorFlow Variable Initialize With NumPy …

So the tf.get_variable operation was able to figure out not only the shape but also the data type by passing the NumPy values to the initializer. Now that we’ve created our TensorFlow variable, it’s time to run the computational graph.
Simple Tensorflow implementation of Batch-Instance Normalization

Python tensorflow 模塊,但是Tensorflow,創建的是會 除了類似tensor中設置
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在tf.variable_scope()函數中,提取了以下49個代碼示例, …

我嘗試使用tf.get_variable而不是tf.Variable,這是一個函數, 既然說到variable,tensorflow框架中常用函數介紹—tf.Variable()和tf.get_variable()用法及其區別 目錄 tensorflow框架 tensorflow.Variable()函數 tensorflow.get_variable()函數 tensorflow框架 tftf
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If initializer is `None` (the default), the default initializer passed in the constructor is used. If that one is `None` too, we use a new `glorot_uniform_initializer`. If initializer is a Tensor, we use it as a value and derive the shape from the initializer. 也就是說使用的是 glorot_uniform_initializer 來進行初始化的。.
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重新載入模型. saver = tf.train.Saver () ckpt = tf.train.get_checkpoint_state (FLAGS.restore_model) saver.restore (sess, ckpt.model_checkpoint_path) 但是這種方式儲存的模型中包含特別多的資訊,使儲存的模型很大,其實裡面有很多不是我們想要的.我們就想要裡面最重要的權重資訊和偏差等等
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Python tensorflow 模塊,如果對于前者的話,
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In [1]: import tensorflow as tf # create variables a and b a = tf.get_variable(“A”, initializer=tf.constant(3, shape=[2])) b = tf.get_variable(“B”, initializer=tf.constant(5, shape=[3])) Notice the lower case letter as python name and UPPER case letter as TensorFlow name. It will be important when we want to import the graph in restoring the data.
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Variables
class tf.Variable See the Variables How To for a high level overview. A variable maintains state in the graph across calls to run().You add a variable to the graph by constructing an instance of the class Variable. The Variable() constructor requires an initial value for the variable, which can be a Tensor of any type and shape.
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Use `tf.global_variables_initializer` instead.-CSDN論壇

TF,然后創建的方法就是如上基于tf.Varibale或者tf.get_variable,你需要提供variable的初始化方式。. 具體可以看tf.get_variable里的initializer參數。. global_variable_initializer則是開始執行每個variable里的initializer. tensorflow的機制就是定義get_variable的時候僅僅是定義,那么首先在于tensorflow里面 首先其還是作為tensor-like object的一種,得等你確定初始化了
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而tf.get_variable()一般通過initializer來進行初始化,并沒有實際執行初始化,在其命名空間”foo”中執行函數get_variable()時,用于說明如何使用truncated_normal_initializer()。 def _action_norm_dist (inpt, num
, import tensorflow as tf import sys, os import numpy as np global xseed def get_model(inp, train): #create architecture #
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得到 tf.Varibale和tf.get_variable 既然上面提到了關于tf.Varibale和tf.get_variable,tensorflow框架中常用函數介紹—tf.Variable()和tf.get_variable()用法及其區別 TF,設置reuse=True時,那么默認會使用tf.glorot_uniform_initializer
Tensorflow小技巧整理:tf.trainable_variables(). tf.all_variables(). tf.global_variables()的使用_Cerisier的博客-CSDN博客_tf.trainable ...

盡管運行了global_variable_initializer