Improve performance for three deep learning models
Budget: $10 – $11 USD
I applied 3 deep learning models (lstm, bilstm, DNN) for classification mult class label for Arabic dataset.
I have the code and the results, I noted that the accuracy when training is high but the accuracy on validation is low, I think there is an overfiting in the models, then I tried to tuned hyper parameter but the performance still not improved, I want someone who has the experience to obtain the best accuracy from those models in specific range.
I want to do that ASAP
I have the code and the results, I noted that the accuracy when training is high but the accuracy on validation is low, I think there is an overfiting in the models, then I tried to tuned hyper parameter but the performance still not improved, I want someone who has the experience to obtain the best accuracy from those models in specific range.
I want to do that ASAP