//--这个文件主要针对分类问题进行演示
//Mnist数据 http://yann.lecun.com/exdb/mnist/

//1. 将下载的Mnist数据解压后, 在打开的文件里先选择训练集图片文件, 接着选择训练集标签文件, 然后选择测试集图片文件, 最后选择测试集标签文件, 最终得到sx, sy, tx, ty
sx = NetReadMnistImage();
y = NetReadMnistLabel();
y = MatrixFromData2d(y);
y = y + 1;
sy = MapIndex(y, 10);

tx = NetReadMnistImage();
y = NetReadMnistLabel();
y = MatrixFromData2d(y);
y = y + 1;
ty = MapIndex(y, 10);

//2. 下面为整个网络代码
inputlayer  = NetCreateLayer("", 784); 
outputlayer = NetCreateConnectLayer(inputlayer, "Sigmod", 36, "SQNL", 18, "Sigmod", 10); 
net = NetCreateWork();
NetWorkInit(net, inputlayer, outputlayer);
solver = NetCreateSolver("RAdma", 1.0);
opt = NetCreateOptimier();
NetOptSetBatchNum(opt, 32);
NetOptSetIterCount(opt, 22400);
NetOptSetEvalByClass(opt, 0.98);//注意这个函数
NetOptSetEvalCount(opt, 16);
NetOptSetPreprocess(opt, 255);
NetOptSetSolver(opt, solver);
NetOptSetWork(opt, net);
NetOptSetTrainData(opt, sx, sy);
NetOptSetEvalData(opt, tx, ty);
NetOptSolve(opt, 2000);