Retraining LSTM


I am working on LSTM model which already trained and works perfectly. However, I need to improve the accuracy by retraining this model when new data is available. Is this possible in PyTorch?


Yes, you can fine-tune a model by continuing the training process.
Depending on the use case, you might want to restore the old optimizer besides the model.