I read the tutorial of LSTM from here. However, I have certain doubts that I need to address.
Since we use true labels and do not remove anything from the original data, then how is it possible for the LSTM model's predicted output to match the real labels as it throws data?
And how do we determine the number of output neurons?
According to my understanding, in word-to-word prediction, one cell's outputs are the number of words (exiting in vocabulary).