An Encoder is responsible for preparing input files and directory structures needed to run the simulation. A Decoder is responsible for parsing the output of the simulation.

"In this tutorial, we will design an Encoder-Decoder model to handle **variable-size** input and output sequences by using three methods. First, we will apply **Padding** to the input and output ...

In recent years, deep learning algorithms successfully applied to develop decision support systems in fields such as medical, bibliometric, and many more. The field of agriculture is one of the most ...

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model.

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

To address that, a team of researchers from the University of Illinois at Urbana-Champaign, USA, and NVIDIA, USA, has introduced a unique paradigm named RAVEN, a retrieval-augmented encoder-decoder ...

The amount of evapotranspiration is the most critical factor in scheduling irrigation. In this work, the ability of an Encoder-Decoder Long Short-Term Memory model to model the daily ...