pkienle

How are the true labels coded in that example you are referring to? I assume your true labels are coded as `0` or `1`, not as `[1, 0]` (class 1)...

That's correct in general, but for a binary classification problem, sigmoid activation and one output layer neuron is sufficient.

Hi @PelFritz 1) shuffling in this sense does not mean you are shuffling the order within each sequence, but the order of sequences drawn. Assume your sequence data is `[0,...

I think you need to look at `PreprocessECG.ipynb` where these pickle files are dumped: ```Python with open(TEST_SET, 'wb') as file: pickle.dump({'x': x_test, 'y': y_test}, file) with open(TRAIN_SET, 'wb') as file:...

I would also be interested if this was an intentional choice to not monitor val_loss and if yes, because of which reasons.