what is the reason behind the bad outputs gained by RNN, LSTM when using GloVe pretrained model in text classification?
I have already dealt with RNN and LSTM codes and finally I found tow solutons to achieve better result for accuracy measure which are as follows:
at first I change the activation function, optimizers and learning rate but it is worth noting that activation function has the most impact and the second trick which I have used is to removing stop words, now the code works fine.
I hope it is useful.