In this repository we will be implementing a simple encoder decoder model with Tensorflow 2 to familiarize ourselves with the sequence-to-sequence architecture. We are going to describe the basic ...

TensorFlow Neural Machine Translation Tutorial. Contribute to kieleik/NMT_with_attention development by creating an account on GitHub.

This paper proposes a novel Ψ-Net architecture that consists of three encoders and a decoder for animal image segmentation. The main characteristic of our proposed architecture is that the outputs at ...

Object detection in motion pictures is always a challenging task due to the presence of dynamic background. Deep learning architectures especially encoder-decoder type has shown promising performance ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

The encoder-decoder constructor framework for NMT proposed by Tu et al. (2017) adds a new ‘reconstructor’ structure to the original NMT model. It aims at doing translation from the hidden state of the ...