What Is Sequence-to-Sequence Learning in NLP?
In Natural Language Processing (NLP), Sequence-to-Sequence (Seq2Seq) learning is a key method. It changes one data sequence into another. This method is great for tasks like machine translation and chatbot development, where sequences can vary in length. Seq2Seq models use Recurrent Neural Networks (RNNs) and their advanced versions. These include Long Short-Term Memory (LSTMs) and…
