python nlp lstm-neural-networks rnn-encoder-decoder fine-tuning transformer-architecture prompt-engineering llms gen-ai Updated 4 days ago Jupyter Notebook ...

We propose a single-document abstractive summarization system that integrates token relation into a traditional RNN-based encoder-decoder architecture. We employ pointer-wise mutual information to ...

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...

Encoder and Decoder Architecture In 2015, Sequence to Sequence Learning with Neural Network became a very popular architecture and with that the encoder-decoder architecture also became part of wide ...

This project implements an Automatic Image Captioning model based on encoder-decoder CNN-RNN architecture trained on COCO dataset. Model is able to generate statements about input image.

We propose a single-document abstractive summarization system that integrates token relation into a traditional RNN-based encoder-decoder architecture. We employ pointer-wise mutual information to ...