FFN Model achieving 100% accuracy in predicting sums
I have a model that adds numbers between -10 to positive 10, but using neural networks to predict the outcome using a data set of adding two numbers. However when getting the train accuracy, its just printing out a lot of 100 percent accuracies. I am not sure if the model is just quickly training, or if there is something wrong and its not properly learning. Can anyone give some insight?