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改进后程序
说明： 使用paddle框架基于卷积神经网络的手写数字识别(Handwritten digit recognition based on convolutional neural network using paddle framework)
- 2020-05-01 13:27:01下载
- 积分：1
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求最大公约数和最小公倍数
【实例简介】
- 2021-08-07 00:31:07下载
- 积分：1
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Knn识别手写数字
代码内注释特别详细，几乎每一句都有注释，特别适合初学者。利用的cnn算法，具体是Python代码，kNN算法的核心思想是如果一个样本在特征空间中的k个最相邻的样本中的大多数属于某一个类别，则该样本也属于这个类别，并具有这个类别上样本的特性。该方法在确定分类决策上只依据最邻近的一个或者几个样本的类别来决定待分样本所属的类别。
kNN方法在类别决策时，只与极少量的相邻样本有关。由于kNN方法主要靠周围有限的邻近的样本，而不是靠判别类域的方法来确定所属类别的，因此对于类域的交叉或重叠较多的待分样本集来说，kNN方法较其他方法更为适合。
- 2022-09-14 23:45:03下载
- 积分：1
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深度学习，模糊图像清晰化
------------| EnhanceNet | ------------This is a pre-trained reference implementation of ENet-PAT from "EnhanceNet:Single Image Super-Resolution through Automated Texture Synthesis" for amagnification ratio of 4.It comes with a script which takes care of installing all necessary packagesinside a virtual environment, i.e. all installations take place inside thefolder and can be simply uninstalled by deleting the folder. Advanced usersmay install the packages directly (see FAQ section).Please note that the code has only been tested on Linux and OS/X.If you use this code as part of a publication, please cite:@inproceedings{enhancenet, title={{EnhanceNet}: Single Image Super-Resolution through Automated Texture Synthesis}, author={Sajjadi, Mehdi~S.~M. and Sch{"o}lkopf, Be
- 2022-07-21 19:21:58下载
- 积分：1
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矩阵(math入门级示例)
矩阵(math入门级示例)
- 2020-03-03下载
- 积分：1
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深度学习mtcnn
说明： 用市面上的摄像头，可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and network layers, so that each layer can learn more features and greatly improve the generalization ability. The network is deeper, the amount of calculation in each layer is reduced, and the ability of feature extraction is strengthened, so as to improve the accuracy of target classification. On the LFW data set, the accuracy of face recognition reaches 98.40%. In this experiment, mtcnn is introduced into the face detection algorithm. Its backbone network is divided into three convolutional neural networks: p-net, R-Net and o-net. Among them, o-net is the most strict in screening candidate face frames. It will output the coordinates of a human face detection frame and five facial feature points (left eye, right eye, nose, left mouth corner, right mouth corner).)
- 2020-11-16 22:10:22下载
- 积分：1
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mycom
使用pyqt 实现windows下串口通信，包括串口选择配置，数据收发等。当然也可以加入pygraph实现波形显示，可做为上位机程序的参考(Using pyqt to achieve windows serial communication, including serial selection, configuration, data transceiver. Of course, you can also join the pygraph to achieve waveform display, can be used as a reference to the host computer program)
- 2017-08-03 18:52:36下载
- 积分：1
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LSTM-IMDB
说明： 迭代算法的收敛率p是等于矩阵导数的最大特征根,Jacobi矩阵表示的是信息缺失的比例,所以p是一个可以有效的表示缺失信息的一个比例的标量,缺失信息的比例其实就是单位矩阵I 减去已经观测到的信息占完全信息的比例(The convergence rate P of the iterative algorithm is equal to the maximum characteristic root of the matrix derivative. Jacobi matrix represents the proportion of missing information, so P is a scalar that can effectively represent a proportion of missing information. The proportion of missing information is actually the proportion of the unit matrix I minus the observed information to the complete information.)
- 2021-04-15 17:42:45下载
- 积分：1
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train_1
用U-net进行脑部图像多类分割，用keras框架进行实现(U-net brain segmentation keras tensorflow background)
- 2020-06-17 07:20:01下载
- 积分：1
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regression
机器学习算法，预测数值型回归，岭回归和逐步线性回归(Machine learning algorithms to predict numerical regression, ridge regression and stepwise linear regression)
- 2020-09-18 21:27:55下载
- 积分：1
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