前言: CNN作为DL中最成功的模型之一,有必要对其更进一步研究它.虽然在前面的博文Stacked CNN简单介绍中有大概介绍过CNN的使用,不过那是有个前提的:CNN中的参数必须已提前学习好.而本文的主要目的是介绍CNN参数在使用bp算法时该怎么训练,毕竟CNN中有卷积层和下采样层,虽然和MLP的bp算法本质上相同,但形式上还是有些区别的,很显然在完成CNN反向传播前了解bp算法是必须的.本文的实验部分是参考斯坦福UFLDL新教程UFLDL:Exercise: Convolutional Ne
using System; using System.Collections.Generic; using System.Configuration; using System.Data; using System.Data.Entity; using System.Data.Entity.Core.Objects; using System.Data.Entity.Infrastructure; using System.Data.Entity.Migrations; using System
题目:我年龄的立方是个4位数.我年龄的4次方是个6位数.这10个数字正好包含了从0到9这10个数字,每个都恰好出现1次,求出我今年几岁. 直接拷贝运行就可以了. public class Age { public static void main(String[] args) { // TODO Auto-generated method stub Age a = new Age(); a.fun(); } private int fun(){ for(int i = 0;i<60;i++){
Description Once upon a time there was a greedy King who ordered his chief Architect to build a wall around the King's castle. The King was so greedy, that he would not listen to his Architect's proposals to build a beautiful brick wall with a perfec
Equations are given in the format A / B = k, where A and B are variables represented as strings, and k is a real number (floating point number). Given some queries, return the answers. If the answer does not exist, return -1.0. Example:Given a / b =
Given an array of citations (each citation is a non-negative integer) of a researcher, write a function to compute the researcher's h-index. According to the definition of h-index on Wikipedia: "A scientist has index h if h of his/her N papers have a
Given an integer array of size n, find all elements that appear more than ⌊ n/3 ⌋ times. The algorithm should run in linear time and in O(1) space. Hint: How many majority elements could it possibly have? Do you have a better hint? Suggest it! 这道题让我们