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mnist_mxnet
基于MXNet深度学习框架，定义CNN模型，训练手写数字识别数据，得到较高的准确率。这是一个基础的深度学习分类任务，值得借鉴。(Based on MXNet deep learning framework, CNN model is defined and handwritten digit recognition data is trained to obtain higher accuracy. This is a basic task of deep learning classification, which is worth learning from.)
- 2020-06-21 22:40:01下载
- 积分：1
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Desktop
均匀化理论的结果读取文件，可以直接读取刚度矩阵(The result of homogenization theory reads the file, and the stiffness matrix can be read directly.)
- 2020-06-23 07:40:02下载
- 积分：1
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weblogic_poc.cve-2018-2628
验证是否存在cve-2018-2628漏洞(Verify that there is a cve-2018-2628 vulnerability)
- 2020-06-19 23:20:02下载
- 积分：1
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SeayFindShell( linux-python-killwebshell
SeayFindShell( linux下python版webshell(web后门)查杀工具)(SeayFindShell( linux-python-webshell(web backdoor kill))
- 2019-01-16 13:22:52下载
- 积分：1
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手写识别KNN算法python实现
这是一个kNN算法的demo，以手写识别为实例
- 2022-01-26 01:23:28下载
- 积分：1
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jiaoben - 副本
说明： 基于Python与MATLAB，实现一种RVE建模(Implement a rve modeling)
- 2021-03-16 16:19:22下载
- 积分：1
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极化SAR用T矩阵freeman分解代码python
极化SAR用T矩阵进行freeman分解代码python，最后将特征用伪彩图显示出来，自己用旧金山数据实验的。本人亲测有效～
- 2023-04-01 08:45:04下载
- 积分：1
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MasteringMachineLearningWithscikit-learn
在这本书里，我们将看到一些机器学习的模型和算法。我们会介绍一些常用的机器学习任务和模型的效果评估方法。而这些模型和算法都是通过十分流行的Python机器学习库scikit-learn来完成，里面有许多机器学习的模型和算法，每个API都简单易用(In this book, we will look at some machine learning models and algorithms.We will introduce some commonly used methods for evaluating the effects of machine learning tasks and models.These models and algorithms are built using the popular Python machine learning library scikit-learn, which has many machine learning models and algorithms, and each API is easy to use)
- 2020-06-20 11:20:02下载
- 积分：1
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rrcc6
说明： rc6 algorithm implimtiton
- 2020-11-16 05:22:24下载
- 积分：1
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径向基函数神经网络
说明： 径向基网络BP network and RBF radial basis function network contrast (fool tutorial, 10 seconds learning neural network). pdf(BP network and RBF radial basis function network contrast (fool tutorial, 10 seconds learning neural network). pdf)
- 2019-06-11 17:12:44下载
- 积分：1
