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What Is Encoder-Decoder Architecture? Here’s All You Need to Know

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 ...
IEEE

Encoder–Decoder Calibration for Multimodal Machine Translation

Abstract: The main purpose of multimodal machine translation (MMT) is to improve the quality of translation results by taking the corresponding visual context as an additional input. Recently many ...
GitHub

giulatona/lstm_pv_forecasting

This repository provides the code for the paper: Giuseppe La Tona and Maria Carmela Di Piazza, "Enhanced Day-Ahead Solar Irradiance Forecasting Using a Modified LSTM Encoder-Decoder: A Deep Learning ...
IEEE

ESNet: Anti-Hierarchical Encoder–Decoder Network With Surrounding Expansion and Stripping for Hyperspectral Image Classification

Abstract: Spatial information is crucial in deep spectral–spatial hyperspectral image (HSI) classification methods. Spatial features can be divided into central features and surrounding features, ...
GitHub

Add URL Encoder/Decoder Tool

Create a URL encoder/decoder tool to the encoder/decoder Tool Group, following the Base64 Text encoder/decoder tool that already exists. It should follow consistent code structure from Base64 Text ...