Sequence to Sequence model is one of the most effective model for Natural Language Processing tasks such as translation.
Couldn't agree more, it's fascinating to consider how the fixed-sized vector representation consistently captures the full semantic complexity of diverse input sentence lenghts, which then optimaly informs the second LSTM for condtional probability.
Thanks for the comment.
Couldn't agree more, it's fascinating to consider how the fixed-sized vector representation consistently captures the full semantic complexity of diverse input sentence lenghts, which then optimaly informs the second LSTM for condtional probability.
Thanks for the comment.