How to retrain a CNN/LSTM using new recorded data?

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I have trainined a hybrid CNN/LSTM network to classification sequential data, in offline experiements it works very well.
In a live scenario it does not perform as well so i wanted to take the sequential sequences recorded during the live experiments and then combine this with the original dataset and retrain the model with the combined dataset.
Once I combined the old dataset with the new data i tried
newNet = trainNetwork(oldNet,XTrain,YTrain); & newNet = trainNetwork(oldNet,XTrain,YTrain,layers,options);
This gives me an error of too many input arguments
Is this possible?
Regards

Accepted Answer

Mahesh Taparia
Mahesh Taparia on 15 Oct 2021
Hello,
You can refer this documentation of training from pretrained weights. You can save the trained network from the old data and load it while adding the new data.
Hope it will help!

More Answers (1)

CHRISTOPHER MILLAR
CHRISTOPHER MILLAR on 18 Oct 2021
Hi
Thanks for the response
I will look at this link you have provided

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