insertion of equation in classification layer of deep neural network for semantic segmetnation.

I need to implement the following equation in the classification layer.

Equation:

d(t,x) is Euclidean distance between x and t.

code for classfication layer

%%%%%%%%%%%%%%%

classdef ClassificationLayer < nnet.layer.ClassificationLayer

properties

%

end

methods

function layer = ClassificationLayer(name)

% l

l

% Set layer name.

layer.Name = name;

end

% Set layer description

layer.Description = ' cross entropy loss';

end

function loss = forwardLoss(layer, Y, T)

% loss = forwardLoss(layer, Y, T) returns the cross entropy loss between the predictions Y and the training targets T.

N = size(Y,4);

Y = squeeze(Y);

T = squeeze(T);

prod = T.*log(Y));

loss = -sum(prod(:))/N;

end

function dLdY = backwardLoss(layer, Y, T)

% dLdX = backwardLoss(layer, Y, T) returns the derivatives of the cross entropy loss with respect to the predictions Y.

Y = squeeze(Y);

T = squeeze(T);

dLdY = -(T./Y)/N;

end

end

end

[Mohammad Sami]

I am not sure what is your question ?

[Raza Ali]

I want to implement the above mentioned equation in classification layer