I have a time series data with a classification label of 1 and 0. I am using a LSTM model to classify the series by taking 100 consecutive timestamps as input with a single label.

Even after training for many epochs, the loss and accuracy remains constant without even a little variation. I have tried to change the optimizer(ADAM and SGD), learning rate and number of layers but still the issue remains.

Any idea on why this could be happening?

enter image description here


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.