Hello, any other guys solve this problem ? i was change the some code but tooks error . can u anyother guys solve this problem ?
original code is running 
orginal code is here :
inputSize = [256 192 3]; originalNet = resnet18;
lgraph = layerGraph(originalNet); lgraph = removeLayers(lgraph,'pool5');
lgraph = removeLayers(lgraph,'fc1000'); lgraph = removeLayers(lgraph,'prob');
lgraph = removeLayers(lgraph,'ClassificationLayer_predictions');
layers = [
transposedConv2dLayer(4,256,"Name","transposed-conv_1","Cropping","same","Stride",[2 2], "BiasLearnRateFactor", 0)
%batchNormalizationLayer("Name","batchnorm_1")
reluLayer("Name","relu_1")
transposedConv2dLayer(4,256,"Name","transposed-conv_2","Cropping","same","Stride",[2 2],"BiasLearnRateFactor",0)
%batchNormalizationLayer("Name","batchnorm_2")
reluLayer("Name","relu_2")
transposedConv2dLayer(4,256,"Name","transposed-conv_3","Cropping","same","Stride",[2 2],"BiasLearnRateFactor",0)
%batchNormalizationLayer("Name","batchnorm_3")
reluLayer("Name","relu_3")
convolution2dLayer(1,numJoints,"Name","conv2d_final")
];
lgraph = addLayers(lgraph,layers);
lgraph = connectLayers(lgraph,'res5b_relu','transposed-conv_1/in');
dlnet = dlnetwork(lgraph);
i was change the like that :
inputSize = [256 192 3]; originalNet = resnet50;
lgraph = layerGraph(originalNet);
lgraph = removeLayers(lgraph,'avg_pool');
lgraph = removeLayers(lgraph,'fc1000');
lgraph = removeLayers(lgraph,'fc1000_softmax');
lgraph = removeLayers(lgraph,'ClassificationLayer_fc1000');
layers = [
transposedConv2dLayer(4,256,"Name","transposed-conv_1","Cropping","same","Stride",[2 2], "BiasLearnRateFactor", 0)
%batchNormalizationLayer("Name","batchnorm_1")
reluLayer("Name","relu_1")
transposedConv2dLayer(4,256,"Name","transposed-conv_2","Cropping","same","Stride",[2 2],"BiasLearnRateFactor",0)
%batchNormalizationLayer("Name","batchnorm_2")
reluLayer("Name","relu_2")
transposedConv2dLayer(4,256,"Name","transposed-conv_3","Cropping","same","Stride",[2 2],"BiasLearnRateFactor",0)
%batchNormalizationLayer("Name","batchnorm_3")
reluLayer("Name","relu_3")
convolution2dLayer(1,numJoints,"Name","conv2d_final")
];
lgraph = addLayers(lgraph,layers);
lgraph = connectLayers(lgraph,'activation_49_relu','transposed-conv_1/in');
dlnet = dlnetwork(lgraph);
