04_tf矩阵基础2

image.png

矩阵运算

import tensorflow as tf
data1 = tf.constant([[6,6]])
data2 = tf.constant([[2],
                     [2]])
data3 = tf.constant([[3,3]])
data4 = tf.constant([[1,2],
                     [3,4],
                     [5,6]])
matMul = tf.matmul(data1,data2)
matMul2 = tf.multiply(data1,data2)
matAdd = tf.add(data1,data3)
with tf.Session() as sess:
    print(sess.run(matMul))#1 维 M=1 N2. 1X2(MK) 2X1(KN) = 1
    print(sess.run(matAdd))#1行2列
    print(sess.run(matMul2))# 1x2 2x1 = 2x2
    print(sess.run([matMul,matAdd]))

[[24]]
[[9 9]]
[[12 12]
[12 12]]