I am trying for multi-class classification and here are the details of my training input and output:
train_input.shape= (1, 95000, 360) (95000 length
Well, I think the main problem out there is with the return_sequences parameter in the network.This hyper parameter should be set to False for the last layer and true for the other previous layers.
return_sequences
False
true