Why is activations function not working with custom made CNN model?

I was trying extarct feature from CNN model. I was succesful with series net like alexnet using activation. But it is not wroking with array of CNN layers. Here was my model:

layers = [
    imageInputLayer([32 32 3],"Name","imageinput")
    convolution2dLayer([3 3],512,"Name","conv1_1","WeightsInitializer","narrow-normal")
    tanhLayer("Name","tanh_1")
    maxPooling2dLayer([2 2],"Name","maxpool_2_2","Stride",[2 2])
    convolution2dLayer([5 5],256,"Name","conv1_2","Padding","same","WeightsInitializer","narrow-normal")
    tanhLayer("Name","tanh_2")
    maxPooling2dLayer([2 2],"Name","maxpool_2_1","Stride",[2 2])
    convolution2dLayer([7 7],128,"Name","conv1_3","Padding","same","WeightsInitializer","narrow-normal")
    reluLayer("Name","relu_3")
    maxPooling2dLayer([2 2],"Name","maxpool_3","Stride",[2 2])
    dropoutLayer(0.1,"Name","dropout")
    fullyConnectedLayer(2,"Name","fc","WeightsInitializer","narrow-normal") %Wanna add those features corresponding to each image.
    softmaxLayer("Name","softmax")
    classificationLayer("Name","classoutput")];

Here I used this code to extract information:

There is a clear difference between alexnet and a_mynet(actuall name was layers_1). One is series net another is not.

How to create a CNN model with deep Network design apps that work with activation fuction?

I tried to edit the seriesnet. But matlab didn't let me to.Please answer this. If you know.

TIA