Seq2Seq models are a type of neural network architecture specifically designed to process and generate sequences. They consist of two main components: an encoder and a decoder. The encoder takes ...

The original transformer was designed as a sequence-to-sequence (seq2seq) model for machine ... The task of the decoder module is to translate the encoder’s attention vector into the output ...