An example of auto encoder model with sequence learning on text. rare example written in python-theano of sequence learning approaches; encoder decoder model, suitable for tasks as MT, SL etc; Based ...

This project implements a sequence-to-sequence model using an RNN encoder-decoder architecture to solve the sentence ordering task. The model learns to arrange shuffled sentences into their correct ...

Text Auto-complete feature suggests a stream of words which complete a user's text as the user types each character. Such a feature is used in search engines, email programs, source code editors, ...

In this paper, we propose a novel neural network model called RNN Encoder-Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixed-length vector ...

In the above section, we have discussed how the encoder-decoder model works well with the sequential information and how the time series is sequential data. This section of the article will be a ...

To train the model, we input the French translation into the decoder block. The embedding and the positional encoding layers transform each word into its respective vectors. The input is then passed ...