Even after using stacked lstm, my accuracy is 32%. What to do? Am I doing something wrong?
Stacked LSTM is not improving
Deep learning is a section of experiments and it require a lot of them to make good models.
so , may be you need to work on model and try agin.
Can you share me your model screenshot too.
some thoughts:
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lower the values of dropouts. 0.5 means you are trying to drop 50% data , and that is very high value and you need to work on it too.
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Try changing optimizer ( i hope that would work , not sure on this though )
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longer training with reduced learning rate
Try them once.

