GitHub

KulshreeNakshane1905/ENCODER_DECODER

The entire input sequence is compressed into a single fixed-size vector (final LSTM hidden state). The decoder only sees this one vector — information bottleneck problem. Input → Embedding → LSTM ...
GitHub

kocemir/lstm_encoder_decoder

There are many instances where we would like to predict how a time series will behave in the future. For example, we may be interested in forecasting web page viewership, weather conditions ...
Nature

Investigation of different LSTM-based encoder-decoder neural networks for vehicle speed prediction

In this work, different Long Short-Term Memory (LSTM) encoder-decoder artificial neural networks are investigated. These networks differ in their complexity. The aim of this work is to evaluate ...
IEEE

Evaluating a Word-Level LSTM Encoder–Decoder Model for English–Telugu Translation

Abstract: English-Telugu neural machine translation is a hard task, mostly because of the lack of parallel corpora and morphological drastically different languages. Although modern models are rapidly ...
IEEE

Enhancing Myanmar Image Captioning Using an Atrous CNN and Bi-LSTM Encoder-Decoder Architecture

Abstract: Generating high-quality image captions remains a challenging task for low-resource and morphologically complex languages such as Myanmar. This paper presents a journal-ready enhanced encoder ...