tensorflow变量定义

1.正态分布Variable

(1)import tensorflow as tf

t = tf.truncated_normal_initializer(stddev=0.1, seed=1)
v = tf.get_variable('v', [1], initializer=t)

with tf.Session() as sess:
for i in range(1, 10, 1):
sess.run(tf.global_variables_initializer())
print(sess.run(v))

(2)

import tensorflow as tf

c = tf.truncated_normal(shape=[2,3], mean=0, stddev=1)

with tf.Session() as sess:

    print(sess.run(c))