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

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

Answer 1

[Mahesh Taparia]

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!

Answer 2

[CHRISTOPHER MILLAR]

Hi

Thanks for the response

I will look at this link you have provided