I have developed an RNN in matlab and now its time to test it. You can set your desired number of layers and nodes and it trains data in random chunks. I also included an annealing function for learning rate that decays gradually from 1 to 1e-5 to avoid overtraining of data.I would like you to suggest me some simple ways to test my network in a way that i can get some useful feedback about its behavior from the results. I am a little concerned about convergence. I' ve set to do some testing of my own but would like to hear some suggestions from more experienced users.I try to simulate some 1st, 2nd, 3rd, ... grade function between (0-1) and see how it goes. I will also try to predict the next value of a time series based on previous values, as another testing method. What would be a good result from these tests? An accuracy of ??% and an mse of ?? ?
Please suggest some good ways to test my RNN
rnn;training