The encoder processes the input (e.g., a sentence or document) and transforms it into numeral values that represent the meaning and the relationships between words. This transformation is important ...

This manuscript has three main contributions, which include 1) an unsupervised deep learning-based framework that combines a recurrent neural network (RNN) structure and encoder-decoder model for ...

Apart from the various interesting features of this model, one feature that catches the attention ... that most competitive neural sequence transduction models have an encoder-decoder structure, where ...

Detailed diagram of Encoder network and Decoder network. Regarding the Decoder ... only the hard constraints were adopted to predict the RNA secondary structure, since the deep learning model itself ...