Is this a case of overfitting? I am training a CNN-LSTM-FC network with around 1 Million parameters network for spatial time series prediction but the validation loss does not even come close to the training loss after 1-2 epochs. Is this a clear case of overfitting? Any inputs would be appreciated!
I am using keras with tensorflow backend.
I would rather say, that in your training, underfitting occurs, because the train values are much better, than the test values. This can occur, when your memory cells cannot store enough information, so maybe try to increase the units or nodes of your LSTM, so the loss can converge better.