In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention mechanism in human brain perception and named human-like perception attention network (HPANet), is ...

In this repository we will be implementing a simple encoder decoder model with Tensorflow 2 to familiarize ourselves with the sequence-to-sequence architecture. We are going to describe the basic ...

Implementation of GRU-based Encoder-Decoder Architecture with Bahdanau Attention Mechanism for Machine Translation from German to English. - PatrickSVM/Seq2Seq-with-Attention ...

There are several other improvements (Yang et al., 2019; Liu et al., 2020; Parikh et al., 2020; Singh et al., 2021) that are based on this encoder-decoder architecture. This kind of method is ...

Encoder-Decoder Architecture. Based on the vanilla Transformer model, the encoder-decoder architecture consists of two stacks: an encoder and a decoder. The encoder uses stacked multi-head ...

The encoder’s self-attention mechanism helps the model weigh the importance of each word in a sentence when understanding its meaning. Pretend the transformer model is a monster: ...