-
fangkuai
说明： 俄罗斯方块。最经典的益智游戏，不仅可以学习，还能增加想要的功能(Tetris. The most classic puzzle game can not only learn, but also increase the function you want)
- 2010-04-14 10:37:25下载
- 积分：1
-
java统计当前在线数
java统计当前在线数-few online
- 2022-05-29 06:14:44下载
- 积分：1
-
GameOfLife-master
说明： 飞机大战，你还在等什么，赶快来游戏吧，这里需要你的激情(What are you waiting for in the air war? Come to the game now. You need your passion here.)
- 2020-06-16 21:20:02下载
- 积分：1
-
nIOS_VGA
用NIOSII生成的VGA显示程序,可以在显示器上显示通讯内容
- 2009-10-12 20:58:00下载
- 积分：1
-
123sadf
说明： 这是 mt4ea源码，用于智能交易，全自动交易，外汇有风险，谨慎操作，建议模拟盘练习。(Mt4ea source code, for intelligent trading, automatic trading, foreign exchange risk, cautious operation, it is recommended to simulate disc exercise.)
- 2020-06-19 16:40:01下载
- 积分：1
-
最小生成树
最小生成树问题，介绍了Kruskal，Prim算法及其优化(Minimum spanning tree problem, Kruskal, Prim algorithm and its optimization are introduced.)
- 2020-06-16 06:20:01下载
- 积分：1
-
旋转机械振动分析与工程应用
说明： 根据文中公式，可以复现预应力模态计算，一本很好的书(model analysis matlab)
- 2019-12-02 08:16:43下载
- 积分：1
-
swordOffer-1028
剑指offer的编程实例，使用java编程语言实现，主要用于学习基础面试算法(The programming example of offer of sword finger, which is realized by Java programming language, is mainly used to learn basic interview algorithm.)
- 2019-01-02 16:59:49下载
- 积分：1
-
ntdgg-tpflow-master
说明： thinkphp框架实现的工作流模块，包含了工作流基本流转功能(The workflow module implemented by ThinkPHP framework contains the basic flow function of workflow)
- 2020-07-08 14:52:46下载
- 积分：1
-
Unet-master2
说明： CN对图像进行像素级的分类，从而解决了语义级别的图像分割（semantic segmentation）问题。与经典的CNN在卷积层之后使用全连接层得到固定长度的特征向量进行分类（全联接层＋softmax输出）不同，FCN可以接受任意尺寸的输入图像，采用反卷积层对最后一个卷积层的feature map进行上采样, 使它恢复到输入图像相同的尺寸，从而可以对每个像素都产生了一个预测, 同时保留了原始输入图像中的空间信息, 最后在上采样的特征图上进行逐像素分类。(CN classifies images at the pixel level, thus resolving the problem of semantic segmentation at the semantic level. Unlike classical CNN, which uses full-connection layer to get fixed-length feature vectors after convolution layer for classification (full-connection layer + soft Max output), FCN can accept any size of input image, and uses deconvolution layer to sample feature map of the last convolution layer to restore it to the same size of input image, so that each pixel can be generated. At the same time, the spatial information of the original input image is retained. Finally, the pixel-by-pixel classification is carried out on the feature map sampled above.)
- 2019-04-19 19:16:29下载
- 积分：1
