faster_rcnn
所属分类：其他
开发工具：matlab
文件大小：21737KB
下载次数：3
上传日期：2020-11-08 13:27:27
上 传 者：
Lsz951029
说明： 卷积神经网络，用了一个红酒的事例，是自己的课程设计，
(Convolution neural network, using an example of red wine, is my own curriculum design,)
文件列表:
faster_rcnn\MNISTMatlab程序\bp\acti_relu.m (86, 2018-03-14)
faster_rcnn\MNISTMatlab程序\bp\acti_relu_prime.m (124, 2018-03-14)
faster_rcnn\MNISTMatlab程序\bp\acti_sigmoid.m (77, 2018-03-14)
faster_rcnn\MNISTMatlab程序\bp\acti_sigmoid_prime.m (105, 2018-03-14)
faster_rcnn\MNISTMatlab程序\bp\bp_backpropagation.m (812, 2018-03-29)
faster_rcnn\MNISTMatlab程序\bp\bp_feedforward.m (475, 2018-03-29)
faster_rcnn\MNISTMatlab程序\bp\evaluatemnist.m (425, 2018-03-29)
faster_rcnn\MNISTMatlab程序\bp\feedforward.m (476, 2018-03-23)
faster_rcnn\MNISTMatlab程序\bp\loadMnistDataScript.m (255, 2018-03-19)
faster_rcnn\MNISTMatlab程序\bp\networksmnist.m (1443, 2018-03-17)
faster_rcnn\MNISTMatlab程序\bp\networksmnist2.m (1983, 2018-03-19)
faster_rcnn\MNISTMatlab程序\bp\networksmnist3.m (1987, 2018-03-29)
faster_rcnn\MNISTMatlab程序\bp\SGD.m (644, 2018-03-29)
faster_rcnn\MNISTMatlab程序\bp\showdigit.m (400, 2018-03-15)
faster_rcnn\MNISTMatlab程序\bp\softmax.m (188, 2018-03-29)
faster_rcnn\MNISTMatlab程序\cnn\cnn_backpropagation.m (2690, 2018-03-30)
faster_rcnn\MNISTMatlab程序\cnn\cnn_backpropagation2.m (2641, 2018-03-30)
faster_rcnn\MNISTMatlab程序\cnn\cnn_evaluate.m (445, 2018-03-30)
faster_rcnn\MNISTMatlab程序\cnn\cnn_feedforward.m (1264, 2018-03-29)
faster_rcnn\MNISTMatlab程序\cnn\cnn_initialize.m (3781, 2018-03-29)
faster_rcnn\MNISTMatlab程序\cnn\cnn_kron.m (297, 2018-03-30)
faster_rcnn\MNISTMatlab程序\cnn\copyToGPU.m (142, 2018-03-28)
faster_rcnn\MNISTMatlab程序\cnn\gones.m (159, 2018-03-27)
faster_rcnn\MNISTMatlab程序\cnn\grand.m (165, 2018-03-27)
faster_rcnn\MNISTMatlab程序\cnn\grandn.m (168, 2018-03-27)
faster_rcnn\MNISTMatlab程序\cnn\gzeros.m (165, 2018-03-27)
faster_rcnn\MNISTMatlab程序\cnn\loadMnistDataScript.m (252, 2018-03-28)
faster_rcnn\MNISTMatlab程序\cnn\relu.m (81, 2018-03-21)
faster_rcnn\MNISTMatlab程序\cnn\relu_prime.m (119, 2018-03-21)
faster_rcnn\MNISTMatlab程序\cnn\run.m (1509, 2018-03-30)
faster_rcnn\MNISTMatlab程序\cnn\showdigit.m (400, 2018-03-15)
faster_rcnn\MNISTMatlab程序\cnn\showWeights.m (1241, 2018-03-29)
faster_rcnn\MNISTMatlab程序\cnn\sigmoid.m (72, 2018-03-21)
faster_rcnn\MNISTMatlab程序\cnn\sigmoid_prime.m (95, 2018-03-21)
faster_rcnn\MNISTMatlab程序\cnn\softmax.m (189, 2018-03-28)
faster_rcnn\MNISTMatlab程序\data\mnist.mat (23196255, 2018-03-14)
faster_rcnn\MNISTMatlab程序\fig\bp\a100-100-m-100-me-50000-e-1-l-5.png (63613, 2018-03-19)
faster_rcnn\MNISTMatlab程序\fig\bp\a120-120-m-100-me-50000-e-1-l-5.png (27678, 2018-03-19)
... ...
%第一步运行 loadMnistDataScript 加载数据
%第一个版本
%运行 networksmnist 即可
%第二个版本（识别率高）
%运行 networksmnist2 即可
%第二个版本
%测试结果，以下参数最高可达到***.34%的识别率
% 结果见./fig/a80-80-m-100-me-50000-e-1-l-5.png
% arch = [784,80,80,10];
% mini_batch_size = 100;
% max_max_iteration = 50000;
% eta = 1;
% lambda = 5;
%测试结果，以下参数最高可达到***.39%的识别率
% 结果见./fig/a100-100-m-100-me-50000-e-1-l-5.png
% arch = [784,100,100,10];
% mini_batch_size = 100;
% max_max_iteration = 50000;
% eta = 1;
% lambda = 5;
loadMnistDataScript;
networksmnist2;
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