`import heapq import numpy as np import random a = np.random.randint(50,size= (4,5)) a = np.array(a) print(a) lists = [[] for i in range(4)] for i in range(len(a)): # print(heapq.nlargest(3, range(len(a[i])), a[i].take)) lists[i].append(heapq.nlarges
使用二维数据构造简单卷积神经网络 觉得有用的话,欢迎一起讨论相互学习~Follow Me 图像和一些时序数据集都可以用二维数据的形式表现,我们此次使用随机分布的二位数据构造一个简单的CNN-网络卷积-最大池化-全连接 参考代码 # Implementing Different Layers # --------------------------------------- # # We will illustrate how to use different types # of layers
using System; using System.Collections.Generic; using System.ComponentModel; using System.Drawing; using System.Drawing.Design; using System.Windows.Forms; /// <summary> /// DataGridView行合并.请对属性MergeColumnNames 赋值既可 /// </summary> public parti