New answers tagged


On the same problems, sometimes GRU is better, sometimes LSTM. In short, having more parameters (more "knobs") is not always a good thing. The training process needs to learn those parameters. There is a higher chance of over-fitting, amongst other problems. The parameters are assigned specific roles inside either GRU or LSTM, so if that role is less ...

Top 50 recent answers are included