cost_vecP.m

function costvec = cost_vecP( P, x1, x2, y, act_fn, nlv, numW, numB )
%{
FUNCTION DESCRIPTION:
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Return a vector whose two-norm squared is the cost function given the
vector of parameters P containing the weights and biases.
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INPUTS:
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       P -- weights and biases {vector},
   x1,x2 -- co-ordinates of training data {vectors},
       y -- labels for trianing data {vector},
  act_fn -- type of activation function being used {string},
     nlv -- number of nodes in each layer {vector},
    numW -- number of weights in each layer {vector},
    numB -- number of biases in each layer {vector}.
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OUTPUTS:
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 costvec -- individual costs for each example {vector}.
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Written by: James Rynn
Last edited: 19/03/2020
%}
    

% Retrieve weights from parameters.
Wb = params_to_weights(P, nlv, numW, numB);


% Compute vector of costs.
costvec = cost_vec(x1,x2,y,act_fn,Wb,nlv);

end