Overfitting LSTM model task for Francisco
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I have previously worked on LSTM models for image captioning projects and animation generation. I can solve the overfitting issue using many regularization techniques I know.
I have been working as data scientist from last 4 years, had experienced this scenario on many instances during beginning phase of my career. It is just game play between bias variance. Let me know if I can be any help
plz share the details of the data set. only then I will be able comment on the reasons of over fitting. use validation set to stop training if it decreas continuously. thanks and regards