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read_files
说明: 对高精地图的opendrive格式源文件的数据精度经行处理(Data Accuracy Processing of Opendrive Format Source File for High Precision Map)
- 2021-01-13 14:48:48下载
- 积分:1
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Galileo_singlefrequency
说明: Galileo单频定位程序,能基于rinex文件实现高精度定位,供编写时参考(Galileo single-frequency positioning program can achieve high-precision positioning based on RINEX file for reference when writing.)
- 2020-07-04 14:20:01下载
- 积分:1
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基于Python语言+图像处理+svm的验证码识别
图像处理的课程设计、基于Python语言+图像处理+svm的验证码识别
- 2022-08-20 16:32:54下载
- 积分:1
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Introducing Python.pdf
说明: 第1、第2、第3章简单介绍Python版本选择、Python解释器的不同实现、Python的安装、开发环境的选择。
2. 第4章介绍了编写高质量代码的技巧,比如代码风格、项目代码结构、文档等等。(Chapters 1, 2 and 3 briefly introduce Python version selection, different implementations of Python interpreter, installation of Python and selection of development environment.
Chapter 4 introduces techniques for writing high-quality code, such as code style, project code structure, documentation, and so on.)
- 2019-03-27 10:04:41下载
- 积分:1
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GA优化CNN
GA优化CNN
- 2021-05-06下载
- 积分:1
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第三次作业
说明: 这个是爬虫代码,希望大家可以喜欢收藏,不胜感激(This is the crawler code. I hope you enjoy collecting it. Thank you very much.)
- 2020-06-19 00:00:02下载
- 积分:1
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ntp-amplification.tar
NTP Amplification attack
- 2015-07-03 19:58:48下载
- 积分:1
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yolo3-keras
说明: 深度学习目标检测的yolov3,可以直接拿来作为目标检测的模型(Yolov3 for deep learning target detection)
- 2020-08-16 21:35:25下载
- 积分:1
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coremail
说明: coremail邮件系统企业通讯录导出脚本(Coremail Mail System Enterprise Address Book Export Script)
- 2020-06-18 10:00:01下载
- 积分:1
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vae
说明: 什么是变分自动编码器?
为了理解VAE,我们首先从最简单的网络说起,然后再一步一步添加额外的部分。一个描述神经网络的常见方法是近似一些我们想建模的函数。然而神经网络也可以被看做是携带信息的数据结构。假如我们有一个带有解卷积层的网络,我们设置输入为值全为1的向量,输出为一张图像。然后,我们可以训练这个网络去减小重构图像和原始图像的平均平方误差。那么训练完后,这个图像的信息就被保留在了网络的参数中。(What is a variational automatic encoder?
To understand VAE, we start with the simplest network, and then add additional parts step by step. A common way to describe neural networks is to approximate some of the functions we want to model. However, neural networks can also be regarded as data structures carrying information. If we have a network with deconvolution layer, we set the input to a vector with all values of 1 and output to an image. Then, we can train the network to reduce the average square error between the reconstructed image and the original image. After training, the information of the image is retained in the parameters of the network.vae)
- 2019-04-26 16:46:35下载
- 积分:1