熟悉CNN

代码说明：

说明：  使用MATLAB对minist手写数据集进行分类，能够达到较高的准确率，可以运行。(Using MATLAB to classify the Minist handwritten data set can achieve high accuracy and can run.)

文件列表：

熟悉CNN, 0 , 2020-07-21
熟悉CNN\applyactfunccnn.m, 1572 , 2016-09-20
熟悉CNN\bpcnn.m, 9883 , 2016-11-09
熟悉CNN\cnn.mat, 32930547 , 2020-07-21
熟悉CNN\cnnAddActLayer.m, 266 , 2016-08-30
熟悉CNN\cnnAddConvLayer.m, 2296 , 2016-11-11
熟悉CNN\cnnAddFCLayer.m, 1573 , 2017-02-16
熟悉CNN\cnnAddPoolLayer.m, 930 , 2016-09-20
熟悉CNN\compares.m, 155 , 2020-07-02
熟悉CNN\createfigure.m, 50620 , 2020-07-21
熟悉CNN\Example_MNIST_CNN.m, 3172 , 2020-07-21
熟悉CNN\ffcnn.m, 4808 , 2020-07-03
熟悉CNN\gradientdescentcnn.m, 843 , 2016-11-09
熟悉CNN\initcnn.m, 863 , 2016-11-11
熟悉CNN\MNIST, 0 , 2020-07-20
熟悉CNN\MNIST\t10k-images-idx3-ubyte.gz, 1648877 , 2020-06-30
熟悉CNN\MNIST\t10k-images.idx3-ubyte, 7840016 , 1998-01-26
熟悉CNN\MNIST\t10k-labels-idx1-ubyte.gz, 4542 , 2020-06-30
熟悉CNN\MNIST\t10k-labels.idx1-ubyte, 10008 , 1998-01-26
熟悉CNN\MNIST\train-images-idx3-ubyte.gz, 9912422 , 2020-06-30
熟悉CNN\MNIST\train-images.idx3-ubyte, 47040016 , 1996-11-18
熟悉CNN\MNIST\train-labels-idx1-ubyte.gz, 28881 , 2020-06-30
熟悉CNN\MNIST\train-labels.idx1-ubyte, 60008 , 1996-11-18
熟悉CNN\testcnn.m, 1067 , 2020-07-03
熟悉CNN\traincnn.m, 3181 , 2020-07-21
熟悉CNN\transform.m, 457 , 2020-07-21