What is the derivative of multiplyLayer in convolutional networks?
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I am defining a class "multiplyLayer" which can multiply (element-wise) a list of inputs. The forward function of this layer is
function Z = predict( this, X )
Z = X{1};
for i = 2:this.NumInputs
Z = Z.*X{i};
end
end
X is a matrix of inputs, and NumInputs is the number of inputs. My question is what is the derivative (or backward function) of this layer?
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