Create an empty neural network and an array of layers. The addLayers function connects the layers sequentially. Get net = dlnetwork; layers = [ imageInputLayer([32 32 3]) convolution2dLayer(3,16,Padding="same") batchNormalizationLayer reluLayer]; net = addLayers(net,layers); View the ne...
然后使用layerGraph()函数创建一个空的网络图，使用addLayers()函数向网络图中添加层。例如，下面的代码...
上述代码表示将全连接层的学习率设置为0.1,并将激活函数设置为ReLU函数。 在创建完神经网络层后,需要将这些层按顺序组合成一个完整的神经网络。可以使用layerGraph函数创建一个空的网络图,并使用addLayers方法将层添加到网络图中。例如,可以使用以下代码创建一个包含两个全连接层和一个输出层的神经网络: lgraph = ...
lgraph=removeLayers(lgraph,{'ClassificationLayer_Logits','Logits_softmax','Logits'});newFinalLayers=[dropoutLayer(0.75,'Name','drop')fullyConnectedLayer(newMaxScore,'Name','fc','WeightLearnRateFactor',10,'BiasLearnRateFactor',10)softmaxLayer('Name','prob')];lgraph=addLayers(lgraph,newFina...
additionLayer(2,'Name','add') reluLayer('Name','output')]; net = layerGraph(statePath); net = addLayers(net,actionPath); net = addLayers(net,outputPath); net = connectLayers(net,'CriticStateFC2','add/in1'); net = connectLayers(net,'CriticActionFC1','add/in2'); ...
additionLayer(2,'Name','resblock2-add') batchNormalizationLayer('Name','resblock2-bn2') reluLayer('Name','resblock2-relu2') fullyConnectedLayer(1,'Name','fc2') sigmoidLayer('Name','sigmoid')]; residualDLN = addLayers(residualDLN,residualLayers); ...
在Matlab中,我们可以通过构建网络层对象来定义网络结构。对于多输入的卷积神经网络,我们可以使用addLayers方法来添加输入层和卷积层。以下是一个例子: % 创建卷积神经网络net=network;% 添加输入层net=addLayers(net,imageInputLayer([32323],'Name','InputLayer'));% 添加卷积层net=addLayers(net,convolution2dLayer...
additionLayer(2,'Name','add') reluLayer('Name','CriticCommonRelu') fullyConnectedLayer(1,'Name','output')]; criticNetwork = layerGraph(statePath); criticNetwork = addLayers(criticNetwork, actionPath); criticNetwork = addLayers(criticNetwork, commonPath); ...
lgraph = addLayers(lgraph,tempLayers); tempLayers = [ concatenationLayer(4,2,"Name","Decoder-Stage-1-Concatenation") convolution3dLayer([3 3 3],64,"Name","Decoder-Stage-1-Conv-1","Padding","same","WeightsInitializer","he") batchNormalizationLayer("...