Output Arguments collapse all Updated network, returned as an uninitializeddlnetworkobject. To initialize the learnable parameters of adlnetworkobject, use theinitializefunction. TheaddLayersfunction does not p
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...
"enc_flatten","enc_posEmbed");addLayer1=additionLayer(2,Name="enc_add");net=addLayers(net,a...
additionLayer(2,'Name','add') reluLayer('Name','CriticCommonRelu') fullyConnectedLayer(1,'Name','output')]; criticNetwork = layerGraph(statePath); criticNetwork = addLayers(criticNetwork, actionPath); criticNetwork = addLayers(criticNetwork, commonPath); criticNetwork = connectLayers(criticNet...
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("...
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'); ...
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...
lgraph = addLayers(lgraph,tempLayers); tempLayers = [ depthConcatenationLayer(2,"Name","depthcat_1") convolution2dLayer([3 3],64,"Name","conv_1_5","Padding","same") batchNormalizationLayer("Name","batchnorm_5") reluLayer("Name","relu_1_5") ...
在MATLAB中,可以使用addLayers函数来并联多个LSTM层。以下是一个示例代码: layers=[ sequenceInputLayer(inputSize) lstmLayer(hiddenSize) additionLayer(numLayers) fullyConnectedLayer(outputSize) softmaxLayer classificationLayer]; 在上述代码中,additionLayer函数用于并联多个LSTM层。通过调整numLayers的值,可以控制并...