This project demonstrates advanced signal processing techniques for Electrocardiogram (ECG) signal denoising using a deep learning encoder-decoder architecture. The implementation showcases expertise ...
This project implements an image captioning model that automatically generates descriptive captions for input images. It combines Convolutional Neural Networks (CNNs) for visual feature extraction and ...
Abstract: 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 ...
Google has launched T5Gemma, a new collection of encoder-decoder large language models (LLMs) that promise improved quality and inference efficiency compared to their decoder-only counterparts. It is ...
What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...