Do you have any performance comparison between Gluon and low level API?
I’m using Gluon Sequential layers with gluon.rnn.LSTM and gluon.nn.Dense layers and it’s much slower than using mx.rnn.LSTMCell and mx.sym.FullyConnected cell.
Meanwhile the accuracy is much worse with same learning_rate and epochs. Is it expected or should I check whether I did something wrong?
Edit: Actually I would like to know the benefit choosing Gluon to build a model and train, over using Module to build a model and train. It seems they provide quite close/similar intermediate level APIs while Module has handy fit/predict functions.