This project implements an Image Captioning model using a CNN-RNN architecture in PyTorch. The model leverages the Inception v3 pre-trained model for feature extraction from images and an LSTM-based ...

Transformer Architecture: Implemented various Transformer components, including multi-head attention, feed-forward layers, layer normalization, encoder, and decoder blocks, following the Attention is ...

This study introduces an innovative deep learning framework, the Weber Cross Information Sharing Deep Learning Encoder-Decoder (WCISD-ED) model, designed for emotion recognition through facial ...

Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online.

In this letter, we propose a deep learning-based iterative residual encoder-decoder method (IRED), which provides an efficient deep learning framework for electromagnetic modeling over a broad ...