alexv1247
alexv1247
Okay, understood. I will give it a go and share my experience.
I got the 2d feature matrix out of the hidden states etc. However still error occurs, although I just use the tutorial code. classifier = KerasClassifier(lstm_model) x_train, y_train, x_test, y_test...
Hi, I am still wondering about the strategy you proposed on how to fix the 3D issue. Since my model requires always a 3D input shape, I dont really get...
thanks for the quick and good answer. So from your point of view ... would it make sense to select the labels with my 2d feature matrix with the default...