cnn-master

代码说明：

说明：  卷积神经网络，可以很好的实现文本分类或者图像识别(Convolutional Neural Networks)

文件列表：

cnn-master, 0 , 2016-11-22
cnn-master\Dataset, 0 , 2016-11-22
cnn-master\Dataset\MNIST, 0 , 2016-11-22
cnn-master\Dataset\MNIST\loadMNISTImages.m, 826 , 2016-11-22
cnn-master\Dataset\MNIST\loadMNISTLabels.m, 516 , 2016-11-22
cnn-master\Dataset\MNIST\t10k-images-idx3-ubyte, 7840016 , 2016-11-22
cnn-master\Dataset\MNIST\t10k-labels-idx1-ubyte, 10008 , 2016-11-22
cnn-master\Dataset\MNIST\train-images-idx3-ubyte, 47040016 , 2016-11-22
cnn-master\Dataset\MNIST\train-labels-idx1-ubyte, 60008 , 2016-11-22
cnn-master\DebugTools, 0 , 2016-11-22
cnn-master\DebugTools\computeNumericalGradient.m, 1250 , 2016-11-22
cnn-master\DebugTools\display_network.m, 2647 , 2016-11-22
cnn-master\DebugTools\grad_check.m, 679 , 2016-11-22
cnn-master\DebugTools\samplePatches.m, 733 , 2016-11-22
cnn-master\DebugTools\thetaChange.m, 2647 , 2016-11-22
cnn-master\Demo, 0 , 2016-11-22
cnn-master\Demo\cnnTrain.m, 1530 , 2016-11-22
cnn-master\Demo\config.m, 719 , 2016-11-22
cnn-master\Demo\configTestGradient.m, 1064 , 2016-11-22
cnn-master\LICENSE, 18026 , 2016-11-22
cnn-master\README.md, 2198 , 2016-11-22
cnn-master\Testing, 0 , 2016-11-22
cnn-master\Testing\test.m, 102 , 2016-11-22
cnn-master\Testing\testGradCom.m, 1718 , 2016-11-22
cnn-master\Testing\testInit.m, 93 , 2016-11-22
cnn-master\Testing\testThetaChange.m, 651 , 2016-11-22
cnn-master\TrainingMethod, 0 , 2016-11-22
cnn-master\TrainingMethod\minFuncSGD.m, 2538 , 2016-11-22
cnn-master\cnnCost.m, 8029 , 2016-11-22
cnn-master\cnnInitParams.m, 2619 , 2016-11-22
cnn-master\layer, 0 , 2016-11-22
cnn-master\layer\Test.m, 3956 , 2016-11-22
cnn-master\layer\TestPool.m, 231 , 2016-11-22
cnn-master\layer\cnnConvolve.m, 3133 , 2016-11-22
cnn-master\layer\cnnParamsToStack.m, 1403 , 2016-11-22
cnn-master\layer\cnnPool.m, 2525 , 2016-11-22
cnn-master\layer\nonlinear.m, 988 , 2016-11-22