Before transformers, recurrent neural networks (RNN) were the go-to solution ... languages are mapped to each other. Like the encoder module, the decoder attention vector is passed through a ...

Depending on the application, a transformer model follows an encoder-decoder architecture ... models such as recurrent neural networks (RNN) and long short-term memory (LSTM) models lose track ...

Comparison of RNN, LSTM, GRU, and Transformer architectures ... The Transformer's architecture uses two main parts: an encoder and a decoder. The encoder processes the input data and creates ...

The first of these technologies is a translation model architecture — a hybrid architecture consisting of a Transformer encoder and a recurrent neural network (RNN) decoder implemented in Lingvo ...