变量OP 存储模型参数
存储持久化
可修改值
可指定被训练
变量需要显式初始化 才能运行值
def variable_demo():
"""
变量的演示
:return:
"""
# 创建变量
with tf.variable_scope("my_scope"):
a = tf.Variable(initial_value=50)
b = tf.Variable(initial_value=40)
with tf.variable_scope("your_scope"):
c = tf.add(a, b)
print("a:\n", a)
print("b:\n", b)
print("c:\n", c)
# 初始化变量
init = tf.global_variables_initializer()
# 开启会话
with tf.Session() as sess:
# 运行初始化
sess.run(init)
a_value, b_value, c_value = sess.run([a, b, c])
print("a_value:\n", a_value)
print("b_value:\n", b_value)
print("c_value:\n", c_value)
return None
