I can prevent the over-fitting problem by changing LSTM to Bi-LSTM or GRU if the data is not too big.
Also data augmentation is the best idea
Relevant Skills and Experience
I am a data scientist in NLP and deep learning. I used LSTM for machine translation, sequence classification and time series.
Proposed Milestones
$255 CAD - As I don't know the problem (sequence classification... etc), I will determine the milestones after
What's the data type and number of samples?