How to add 2 or more hidden layer to the neural network?

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Tousif Ahmed 2017-4-15

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https://ww2.mathworks.cn/matlabcentral/answers/335511-how-to-add-2-or-more-hidden-layer-to-the-neural-network

评论： Tousif Ahmed 2017-4-20

I have this code i need to add 2 hidden layer, can anyone please help me with that please. Here is the code

[J,grad] = netcost(nn_params,input_layer_size,hidden_layer_size,num_labels,X, y, lambda)

Theta1 = reshape(nn_params(1:hidden_layer_size * (input_layer_size + 1)), ... hidden_layer_size, (input_layer_size + 1));

Theta2 = reshape(nn_params((1 + (hidden_layer_size * (input_layer_size + 1))):end), ... num_labels, (hidden_layer_size + 1));

num_labels=2; 1 hidden layer; input neurons=2160,hidden layer neuron=20; I want to add totally 2 hidden layers, please can anyone help me with the code please

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Philip G 2017-4-20

编辑：Philip G 2017-4-20

在 MATLAB Online 中打开

net.png

Just executing the command

net=feedforwardnet([200 200 200]);

Does not give any errors and will give you a network with 3 hidden layers of size 200 (see attached image). I am not sure what your error is. Also in the code above "netcost" is not a MATLAB function - so it is hard to say where your error comes from (especially this strange behavior that you can not create a network with a layer size bigger than 100).

Tousif Ahmed 2017-4-20

在 MATLAB Online 中打开

latest.mat

i will post the code here. please have a look.

load latest.mat; trainFcn = 'trainscg'; % Scaled conjugate gradient backpropagation.

net.performFcn = 'mse'; %newly added

hiddenLayerSize = 10; %net = patternnet(hiddenLayerSize); net=feedforwardnet([50 10]);

view (net); net.divideParam.trainRatio = 70/100; net.divideParam.valRatio = 15/100; net.divideParam.testRatio = 15/100;

net.trainParam.epochs = 100;

[net,tr] = train(net,training,test); y = net(training); e = gsubtract(test,y); performance = perform(net,test,y) tind = vec2ind(test); yind = vec2ind(y); percentErrors = sum(tind ~= yind)/numel(tind);

net.IW{1,1}; net.b{1}; %net.LW {1};

% View the Network view(net)

 I have attached the file named 'latest.mat'.It contains image file of size 27x18, 11 images for training and 2 images for test. I dont know whether the procedure i have followed to add the images for training and test are correct. Please correct me if i am wrong and please have a look

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