Feed forward dimensions of the transformer encoder/decoder blocks are set to 4 x e_dim; Transformer encoder/decoder blocks' dropout = 0.2; Due to lack of time and resources, we did not perform full ...

Implementation of a self-made Encoder-Decoder Transformer in PyTorch (Multi-Head Attention is implemented too), inspired by "Attention is All You Need." Primarily designed for Neural Machine ...

On this basis, we introduce the Transformer encoder-decoder architecture to expand the size of receptive field, ... mixed model of convolutional neural network and Transformer is used to realize the ...