Encoder-Decoder Architectures. Encoder-decoder architectures are a broad category of models used primarily for tasks that involve transforming input data into output data of a different form or ...

We dedicate this project to a core deep learning based model for sequence-to-sequence modeling and in particular machine translation: An Encoder-Decoder architecture ... The EncoderRNN attribute is ...

Deep learning discovers intricate structure in ... K. et al. Learning phrase representations using RNN encoder-decoder for statistical machine ... Y. Neural machine translation by jointly learning ...

In the machine translation example that we examined above, the encoder module of the transformer learned the relations between English words and sentences, and the decoder learns the mappings ...

Since the deep learning boom has started, numerous researchers have started building many architectures around neural networks. It is often speculated that the neural networks are inspired by neurons ...

In particular, a novel encoder-decoder DNN structure termed transformer, which Google develops, has been applied in NMT and revealed outstanding translation performance. In this study, we investigate ...