BackPropagation Neuron Network Approach - Design
问题 I am trying to make a digit recognition program. I shall feed a white/black image of a digit and my output layer will fire the corresponding digit (one neuron shall fire, out of the 0 -> 9 neurons in the Output Layer). I finished implementing a Two-dimensional BackPropagation Neuron Network. My topology sizes are [5][3] -> [3][3] -> 1[10]. So it's One 2-D Input Layer, One 2-D Hidden Layer and One 1-D Output Layer. However I am getting weird and wrong results (Average Error and Output Values).