Problem using scalingLayer for shifting actor outputs to desired range

Greetings everyone. I want to use scalingLayer to shift my actor network’s outputs to desired range. I’m using this reference and the code below :

numObs = 10;
numAct = 5;
actorLayerSizes = [400 300];
sc = reshape([10, 10, 20, 15, 15], [1 1 5]);
bias = reshape([0, 0, 0, 0, 0], [1 1 5]);
actorNetwork = [
    imageInputLayer([numObs 1 1],'Normalization','none','Name','observation')
    fullyConnectedLayer(actorLayerSizes(1), 'Name', 'ActorFC1')
    reluLayer('Name', 'ActorRelu1')
    fullyConnectedLayer(actorLayerSizes(2), 'Name', 'ActorFC2')
    reluLayer('Name', 'ActorRelu2')
    fullyConnectedLayer(numAct, 'Name', 'ActorFC3')                       
    tanhLayer('Name','ActorTanh1'), ...
    scalingLayer('Scale',sc, 'Bias',bias)
    ];

I’m getting the error below:

Error using vertcat

Dimensions of arrays being concatenated are not consistent.

Can anyone help me with this?

ANSWER

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The way you have it now, you are adding the scaling layer in the same row as tanh whereas it should be in its own row.

actorNetwork = [
    imageInputLayer([numObs 1 1],'Normalization','none','Name','observation')
    fullyConnectedLayer(actorLayerSizes(1), 'Name', 'ActorFC1')
    reluLayer('Name', 'ActorRelu1')
    fullyConnectedLayer(actorLayerSizes(2), 'Name', 'ActorFC2')
    reluLayer('Name', 'ActorRelu2')
    fullyConnectedLayer(numAct, 'Name', 'ActorFC3')                       
    tanhLayer('Name','ActorTanh1')
    scalingLayer('Scale',sc, 'Bias',bias)
    ];

Problem using scalingLayer for shifting actor outputs to desired range