tensorflow基础使用1

1. op的设计及运行一个简单的图

import tensorflow as tfx = tf.Variable([1,2]) #创建变量a = tf.constant([3,3]) #创建常量sub = tf.subtract(x,a)#定义减法opadd = tf.add(x,sub)#定义加法opinit = tf.global_variables_initializer() 初始化所有变量with tf.Session() as sess:运行图    sess.run(init)    print(sess.run(sub))    print(sess.run(add))

2创建一个循环迭代的操作

import tensorflow as tfstate = tf.Variable(0,name='counter')new_value = tf.add(state,1)update = tf.assign(state,new_value)  #赋值操作init = tf.global_variables_initializer()with tf.Session() as sess:    sess.run(init)    print(sess.run(state))    for _ in range(5):        sess.run(update)        print(sess.run(state))