一.理论 关于SRGAN的的论文中文翻译网上一大堆,可以直接读网络模型(大概了解),关于loss的理解,然后就能跑代码 loss  = mse + 对抗损失 + 感知损失   : https://blog.csdn.net/DuinoDu/article/details/78819344 loss不要乱改,尽量按照原来论文的来,我尝试了  0.2*MSE+0.4*感知损失+0.4*对抗损失 , 结果loss很奇怪,效果也很差 SRGAN的3个重要loss: 二.代码及其理解(源码) (1)文件结…
郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! 时序点过程:http://www.tensorinfinity.com/paper_154.html Abstract 在过去的十年中,人们提出了几个正定核来处理Hilbert空间中的脉冲序列.然而,在很大程度上,这种尝试仍然只是计算神经科学家和信号处理专家的好奇心.本教程说明了为什么核方法能够并且已经开始改变分析和处理脉冲序列的方式.这篇报告结合了简单的数学类比和令人信服的实际例子,试图展示正定函数量化点过程的潜力.它还详细概述了当…
问题: 在linux服务器上使用maven编译war时报错: 16:41:35 [FATAL] Non-resolvable parent POM for ***: Failure to find *** in *** was cached in the local repository, resolution will not be reattempted until the update interval of nexus has elapsed or updates are forced…
题意: 给你一个数n,表示有n辆火车,编号从1到n,入站,问你有多少种出站的可能.    (题于文末) 知识点: ps:百度百科的卡特兰数讲的不错,注意看其参考的博客. 卡特兰数(Catalan):前几项为 : 1, 1, 2, 5, 14, 42, 132, 429, 1430, 4862, 16796, 58786, 208012, 742900, 2674440, 9694845, 35357670- 令h(0)=1,h(1)=1,catalan数满足递推式:      h(n)= h(0…
maven在执行过程中抛错: 引用 ... was cached in the local repository, resolution will not be reattempted until the update interval of nexus has elapsed or updates are forced -> [Help 1] 原因就是有些jar包没有完全下载完成,在编译的时候找不到jar包.只需要在配置文件中增加一个更新策略<updatePolicy>always&l…
A New Year's resolution is a traditional for me to celebrate a new beginning. For the past year, I have finished all the items except one but I think I tried my best. And for the coming year, I hope I can finish them all: Improve career, perform bett…
列车调度(Train) Description Figure 1 shows the structure of a station for train dispatching. Figure 1 In this station, A is the entrance for each train and B is the exit. S is the transfer end. All single tracks are one-way, which means that the train ca…
Organize Your Train part II Time Limit: 1000MS Memory Limit: 65536K Description RJ Freight, a Japanese railroad company for freight operations has recently constructed exchange lines at Hazawa, Yokohama. The layout of the lines is shown in Figure 1.…
How to Train a GAN? Tips and tricks to make GANs work 转自:https://github.com/soumith/ganhacks While research in Generative Adversarial Networks (GANs) continues to improve the fundamental stability of these models, we use a bunch of tricks to train th…