News

marktechpost1y
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures
Attention mechanisms, especially in transformer models, have significantly enhanced the performance of encoder-decoder architectures, making them highly effective for a wide range of ...
University of Waterloo2y
Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting
Jahangir, M.S. , You, J. , & Quilty, J.. (2022, December 12-16). Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American ...
GitHub2y
Anca-Mt/CHATBOT-encoder-decoder
In this project, I implemented a chatbot using the encoder-decoder algorithm as part of my exploration into the field of deep learning. The encoder-decoder architecture has gained widespread attention ...
IEEE1y
A Survey on Image Captioning Using Encoder-Decoder Based Deep Learning Models
Image captioning techniques have evolved significantly from classical deep learning approaches to the most advanced methods available today. Presently, Encoder-Decoder based image caption generation ...
IEEE3y
An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction
Contemporary cloud resource management mechanisms can provide resource allocation policies by leveraging multi-step traffic prediction.In this research paper, we compare statistical time series with ...