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SGCN-master
说明: 利用现有的网络结构信息来训练神经网络,从而得到网络嵌入结果。(The existing network structure information is used to train the neural network, and the result of network embedding is obtained.)
- 2020-06-15 23:00:02下载
- 积分:1
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人脸检测的算法
该文献菜呀PCA进行特征值得提取,而且在多个图片中识别出当前图片,资源库的下载地址为http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html The
可以下到图片训练集。
- 2022-04-27 16:33:17下载
- 积分:1
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elastodynamicKnl.tar
Fundamental solutions for linear isotropic displacements and strains
- 2016-04-08 22:02:30下载
- 积分:1
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Py数据分析jupyter
py数据分析numpy, pandas, matplotlib, pyecharts, seaborn...(py data analysis: numpy, pandas, matplotlib, pyecharts, seaborn...)
- 2019-01-03 18:35:23下载
- 积分:1
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玛丽冒险(项目源码下载)-Python项目开发案例集锦04.zip
玛丽冒险(项目源码下载)-Python项目开发案例集锦04.zip
- 2019-09-22下载
- 积分:1
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python检测鼠标键盘是否按下的程序
python 检测鼠标键盘是否按下去,该源码程序调用了user32.dll,在windows下面可以实现极快的鼠标键盘按下检测等各种功能,是开发游戏、辅助程序、其他功能性软件必不可少的部分,建议开一个线程实施检测
- 2023-03-19 14:20:03下载
- 积分:1
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simulate-annealing-algorithm-master
说明: 本程序用于实现模拟退火算法计算最短路径问题,读取txt数据,最后计算出任意两点之间的距离(This program is used to realize simulated annealing algorithm to calculate the shortest path problem, read TXT data, and finally calculate the distance between any two points.)
- 2020-06-25 08:40:02下载
- 积分:1
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FEA of plate
该程序计算薄板振动固有频率,模态,以及受迫振动时域响应(The program calculates the natural frequencies, modes, and time-domain responses of the forced vibration of the thin plate)
- 2017-11-27 13:25:13下载
- 积分:1
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emgucv人脸识别源码
人脸识别算法,非常有助于对人脸识别算法的理解
- 2022-11-04 04:45:03下载
- 积分:1
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LSTM-Human-Activity-Recognition-master
说明: 与经典的方法相比,使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中,神经网络就像一个黑匣子,可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程,这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory cells does not need or almost need feature engineering. Data can be directly input into the neural network, which acts as a black box and can correctly model the problem. Other research can use a lot of Feature Engineering on activity recognition data sets, which is a signal processing method combined with classical data science and technology. The method here is very simple in terms of the number of data preprocessing)
- 2019-06-13 18:50:02下载
- 积分:1