转载文章： NumPy 入门 - 知乎 (zhihu.com)https://zhuanlan.zhihu.com/p/41846859

import os import tensorflow as tf os.environ['TF_CPP_MIN_LOG_LEVEL']='2' #张量节点 v_1 = tf.constant([1,2,3,4]) v_2 = tf.constant([2,2,3,4]) #操作对象节点 v_add = tf.add(v_1, v_2) with tf.compat.v1.Session() as sess: print(sess.run([v_add,v_1,v_2])) #run.

(1条消息) 什么是Tensor_kansas_lh的博客-优快云博客_tensorhttps://blog.youkuaiyun.com/kansas_lh/article/details/79321234

1. np.multiply()函数 数组和矩阵对应位置相乘，输出与相乘数组/矩阵的大小一致 1.1 数组场景 import numpy as np a = np.array([[1, 2], [3,4]]) b = np.array([[5, 6], [7, 8]]) c = np.multiply(a, b) print (c) 输出： [[ 5 12] #对应元素相乘 [21 32]] 1.2矩阵场景 a = np.array