第一个TensorFlow的简单例子

使用TensorFlow进行一个简单的矩阵相加操作，并输出其结果。

import tensorflow as tf
v_1=tf.constant([1,2,3,4])
v_2=tf.constant([2,1,5,3])
v_add=tf.add(v_1,v_2)
with tf.Session() as sess:
    print(sess.run([v_1,v_2,v_add]))

　　结果截图：

 

 

 

较复杂的矩阵运算（相乘、相加）：

import tensorflow as tf
x=tf.constant([0.9,0.85],shape=[1,2])
w1=tf.Variable(tf.constant([[0.2,0.1,0.3],[0.2,0.4,0.3]],shape=[2,3],name="w1"))
w2=tf.Variable(tf.constant([0.2,0.5,0.25],shape=[3,1],name="w2"))

b1=tf.constant([-0.3,0.1,0.2],shape=[1,3],name="b1")
b2=tf.constant([-0.3],shape=[1],name="b2")

#初始化
init_op=tf.global_variables_initializer()
a=tf.matmul(x,w1)+b1
y=tf.matmul(a,w2)+b2

with tf.Session() as sess:
    sess.run(init_op)
    print(sess.run(y))

　　输出结果截图：