Q1

How we used datasets

Operation of FFNN

Hyper-parameter settings

Learning curves (training and test perplexity)

Fakes Detection results (confusion matrix)

Limitations of our approach and possible solutions

Q2

How we used datasets

Operation of LSTM LLM

Hyper-parameter settings

Learning curves (training and test perplexity)

Fakes Detection results (confusion matrix)

Limitations of our approach and possible solutions

Q3

How you selected the best model

Limitations of our approach and possible solutions