4. Gather your hair into a ponytail. While you're still bent over, gather your hair into a ponytail that sits high on your head. If you want a sleek ponytail with no bumps, smooth your hair from the bottom of your neck to your hand. Try not to miss any strands. http://pad2.whstatic ....
MATLAB Function Reference. load load('filename') load('filename', 'X', 'Y', 'Z') load('filename', '-regexp', exprlist) load('-mat', 'filename') load('-ascii', 'filename') S = load(...) load filename -regexp expr1 expr2 ... load loads all the variables from the MAT-file matlab.mat, if it exists, and returns an error if it doesn't exist. load('filename') loads all the variables from filename given a full pathname or a MATLABPATH relative partial pathname.
Hi, If you are using nntool in matlabl, things are pretty easy. You can check its documentation for how to do. Basically, it will ask you to give a set of inputs and a corresponding set of outputs. All these, inputs and outputs, are the training datasets. MATLAB, would set aside a portion of these data for training and the rest for cross validation.