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机器学习训练的数据集-UCI数据集UCI(55个)
说明: 机器学习训练的数据集-UCI数据集,包含55个数据集(Machine learning training data set -UCI data set, containing 55 data sets)
- 2021-03-09 12:29:28下载
- 积分:1
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又一个XP风格进度条控件+实例源码
又一个VB6.0环境下使用的XP风格进度条控件+实例源码,有4种风格样式,4种颜色风格,4个示例进度条,依次点击对应控制按钮可显示进度条样式。本进度条可用于程序控制、等待状态、加载状态的Loading显示,值得收藏。
- 2022-01-25 16:50:36下载
- 积分:1
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Samples are organized by chapter, and then by "application" or example name. You...
Samples are organized by chapter, and then by "application" or example name. You should open a project in Visual Studio .NET through the .sln (solution) file.
Note that Visual Studio .NET automatically creates various temporary and debugging files in the obj and bin sub-directory for each project. The actual uncompiled code is only the .vb files that are contained in the root project directory.
- 2023-02-08 15:00:04下载
- 积分:1
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On USB and DSP data acquisition system papers. Use of VC development, through th...
关于USB与DSP的数据采集系统的论文。利用VC开发,通过USB传输数据,利用DSP采集数据,通过PC显示。-On USB and DSP data acquisition system papers. Use of VC development, through the USB transmit data, the use of DSP data collection, through the PC display.
- 2022-02-02 13:52:12下载
- 积分:1
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1
MATLAB语言在建筑抗震工程中的应用1(Application of MATLAB Language in Building Seismic Engineering 1)
- 2020-06-23 20:20:02下载
- 积分:1
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毕业设计
毕业设计-Graduation Project
- 2022-10-17 10:40:03下载
- 积分:1
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OpenCascade中文帮助文档
说明: OCC基础教程,Opencascade基础教程、帮助文档(OCC Basic Courses,Opencascade Basic Courses)
- 2020-06-17 23:40:02下载
- 积分:1
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边缘检测
说明: 利用matlab编写的边缘检测代码,内涵源代码和示例图片(Using MATLAB to write the edge detection code, content source code and sample pictures)
- 2020-12-29 12:47:40下载
- 积分:1
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define N3
学生成绩录入及管理系统,用于录入、对比、查询、修改学生的成绩(Student Achievement System)
- 2020-06-16 00:40:01下载
- 积分:1
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kaggle_diabetic-master
说明: A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh.
Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images.
You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.
- 2019-05-11 15:31:21下载
- 积分:1