Hello to everyone! I'm trying to run a recurrent neural network, performing something slightly different from usual, that is time series classification, instead of prediction. By doing this, I present to the rnn same length series. If this last is not as long as the input size, I add NaN values, as usual. Then, as I care about the outcome of the rnn only at certain time step, I put NaN values in error weights related to all the others (I forgot to tell I'm running a concurrent input analysis). The learning process of the rnn starts, but during the process you can see performance and gradients bars show a NaN, intead of numerical values. At the end of learning, you're consequently not able to visualize the performance plot. Do someone know how to manage these situations?
