中科创达实训第十二天：可视化和深度学习概述

一、课件

二、课后习题

三、答案

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
with tf.name_scope("input"):
    a = tf.constant([[2, -1], [0, 3], [-5, 4]], name = "A")
    b = tf.constant([[1, 0, 1, 0], [0, 1, 0, -1]], name = "B")

with tf.name_scope('OP'):
    c = tf.matmul(a, b)
    d = tf.transpose(b)

with tf.Session() as sess:
    writer = tf.summary.FileWriter('logs/', sess.graph)
    print(sess.run(c))
    print(sess.run(d))



#运行代码
#控制台
tensorboard --logdir=路径