MATLAB-LeNet5-master

代码说明：

说明：  手写体识别 lenet5 LeNet5由7层CNN（不包含输入层）组成，上图中输入的原始图像大小是32×32像素，卷积层用Ci表示，子采样层（pooling，池化）用Si表示，全连接层用Fi表示。下面逐层介绍其作用和示意图上方的数字含义。(Lenet5 is composed of seven layers of CNN)

文件列表：

MATLAB-LeNet5-master, 0 , 2020-03-25
MATLAB-LeNet5-master\.gitattributes, 66 , 2019-08-01
MATLAB-LeNet5-master\acc.jpg, 28739 , 2020-03-25
MATLAB-LeNet5-master\Accuracy.m, 1165 , 2020-03-25
MATLAB-LeNet5-master\cnn_lenet5.jpg, 144401 , 2019-08-01
MATLAB-LeNet5-master\cnn_lenet5.png, 38384 , 2019-08-01
MATLAB-LeNet5-master\Grad.m, 167 , 2020-03-25
MATLAB-LeNet5-master\hasNaN.m, 83 , 2019-08-01
MATLAB-LeNet5-master\LICENSE, 35129 , 2019-08-01
MATLAB-LeNet5-master\loadMNISTImages.m, 857 , 2019-05-24
MATLAB-LeNet5-master\loadMNISTLabels.m, 533 , 2019-05-24
MATLAB-LeNet5-master\LoadNN.m, 388 , 2019-08-01
MATLAB-LeNet5-master\loss.jpg, 27494 , 2020-03-25
MATLAB-LeNet5-master\Padding.m, 120 , 2019-08-01
MATLAB-LeNet5-master\Prepare.m, 1393 , 2019-08-01
MATLAB-LeNet5-master\README.md, 18 , 2019-08-01
MATLAB-LeNet5-master\reLU.m, 206 , 2020-03-25
MATLAB-LeNet5-master\rot180.m, 85 , 2019-08-01
MATLAB-LeNet5-master\Sampling.m, 153 , 2019-08-01
MATLAB-LeNet5-master\SaveResult.m, 757 , 2020-03-25
MATLAB-LeNet5-master\softmax.m, 97 , 2019-08-01
MATLAB-LeNet5-master\t10k-images-idx3-ubyte, 109776 , 2020-03-01
MATLAB-LeNet5-master\t10k-labels-idx1-ubyte, 148 , 2020-03-01
MATLAB-LeNet5-master\test.m, 462 , 2020-03-25
MATLAB-LeNet5-master\train-images-idx3-ubyte, 439056 , 2020-03-01
MATLAB-LeNet5-master\train-labels-idx1-ubyte, 568 , 2020-03-01
MATLAB-LeNet5-master\TrainCNN.m, 3756 , 2020-03-25
MATLAB-LeNet5-master\TrainRecovery.m, 919 , 2020-03-25
MATLAB-LeNet5-master\Upsampling.m, 205 , 2019-08-01