Neural Network one input, one output

Hello everyone i would like to train a network to recognize one Pic of 600 Pixels so i have 600 inputs for each pixel and if the picture is the correct one the ouput is 1 if not the ouput is 0 if there is some noise in the picture then the output is for example 0,95 or less .. but how to train a network with one picture. i have made some codes before but there were more than one picture and more than output for each picture. but how to do this with one picture ! 600 input and output is 1 ! this will not work. here for example: [x, t] = bodyfat_dataset; net1 = feedforwardnet(10); net2 = train(net1, x, t); y = net2(x); we have 13 inputs and 252 samples so we have 1 output with 252 output vector but in my case 600 inputs and number 1 in output 0 and 1 or how to do this ? please help and thanks in advance