Hi everyone,
I’ve a RNN model that take as input 64 (batch size) x 100 (time steps) * 3 (3 labels to be predicted, 2 of them have 64 classes, and the 3rd has 2 classes).
The model output is the same
I tried the CrossEntropyLoss loss function, it gave an error that it needs only 2-D or 4-D tensors. What is wrong in what I am doing?
What is the good loss function that i should use for my problem?