[Discussion] Can LSTM model learn feature engineering on its own?

I have a timeseries dataset and I am training an LSTM model on it to perform multiclass classification.

My dataset has 7 columns => x1,x2,x3....x7

And has 4 labels => f1,f2,f3,f4

Since I have domain knowledge over my dataset, I know exactly what feature engineering needs to be done.

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for example, I need to create 4 new features from my current features by applying some rules on each row:-

1. newx1 is created by => if (x2==x3) then 1, …

classification dataset domain domain knowledge engineering feature feature engineering knowledge labels learn lstm lstm model machinelearning timeseries training