tf.Variable函数的用法

tf.Variable（initializer， name）：initializer是初始化参数，可以有tf.random_normal，tf.constant，tf.constant等，name就是变量的名字，用法如下：

import tensorflow as tf;  
import numpy as np;  
import matplotlib.pyplot as plt;  
  
a1 = tf.Variable(tf.random_normal(shape=[2,3], mean=0, stddev=1), name='a1')
a2 = tf.Variable(tf.constant(1), name='a2')
a3 = tf.Variable(tf.ones(shape=[2,3]), name='a3')

with tf.Session() as sess:
	sess.run(tf.initialize_all_variables())
	print sess.run(a1)
	print sess.run(a2)
	print sess.run(a3)

输出：

[[ 0.76599932  0.99722123 -0.89361787]
 [ 0.19991693 -0.16539733  2.16605783]]
1
[[ 1.  1.  1.]
 [ 1.  1.  1.]]