Each epoch just runs through the training data again, all it does is 'have another go' fine tuning the ANN. You should get reasonable results with 10 to 100 max epochs. More than that it will not be improving anything. I have around 10000 training points - all randomly generated and are the most important factor for the training. Repeating the training with the same set 1000s times isn't as good as having more 'different' training points. The purpose of epochs is to get the most out of the data you have and to reduce any biases due to the order of the data - prevent early training from dominating in some way.
If you are getting output that is not numbers between 0 and 1, there is a problem - make sure all you training data, input and output is scaled between 0 and 1.
I get good answers training on a decent laptop in a few seconds, so the training shouldn't take too long or need fancy hardware for this task.
If you are getting output that is not numbers between 0 and 1, there is a problem - make sure all you training data, input and output is scaled between 0 and 1.
I get good answers training on a decent laptop in a few seconds, so the training shouldn't take too long or need fancy hardware for this task.