05_tf矩阵基础3

特殊矩阵初始化

import tensorflow as tf
mat0 = tf.constant([[0,0,0],[0,0,0]])
mat1 = tf.zeros([2,3])    #2行3列空矩阵
mat2 = tf.ones([3,2])    #3行2列单位矩阵
mat3 = tf.fill([2,3],15)    #矩阵填充，全填为15
with tf.Session() as sess:
    print(sess.run(mat0))
    print(sess.run(mat1))
    print(sess.run(mat2))
    print(sess.run(mat3))

[[0 0 0]
[0 0 0]]

[[0. 0. 0.]
[0. 0. 0.]]

[[1. 1.]
[1. 1.]
[1. 1.]]

[[15 15 15]
[15 15 15]]

import tensorflow as tf
mat1 = tf.constant([[2],[3],[4]])
mat2 = tf.zeros_like(mat1)                #与mat1有相同维度，并全为0
mat3 = tf.linspace(0.0,2.0,11)            #1-2之间10等分，有11个数据
mat4 = tf.random_uniform([2,3],-1,2)      #随机矩阵，2行3列，在-1到2之间产生随机数
with tf.Session() as sess:
    print(sess.run(mat2))
    print(sess.run(mat3))
    print(sess.run(mat4))

[[0]
[0]
[0]]
[ 0. 0.2 0.40000001 0.60000002 0.80000001 1.
1.20000005 1.39999998 1.60000002 1.80000007 2. ]
[[ -1.66177750e-04 7.87446260e-01 -4.10951853e-01]
[ -9.58950400e-01 1.97116375e-01 -2.69421697e-01]]