Analytics India Magazine

Using Encoder-Decoder LSTM in Univariate Horizon Style for Time Series Modelling

In machine learning, we have seen various kinds of neural networks and encoder-decoder models are also a type of neural network in which recurrent neural networks are used to make the prediction on ...
inc42

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 ...
GitHub

understanding-of-LLM-Encoder-and-decoder-model-

An Encoder-Decoder model is a fundamental architecture in the field of deep learning and natural language processing (NLP). It's widely used for a variety of tasks, including machine translation, text ...
GitHub

Base64 Encoder & Decoder, for Next.js

Base64 Encoder & Decoder is an NPM module, optimized for Next.js. Usable server-side, client-side and in Edge Runtime (for middleware). Pure-JS, tree-shaking ready, with optimized performances: 2x to ...
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, ...
IEEE

Encoder-Decoder Based Attractors for End-to-End Neural Diarization

Abstract: This paper investigates an end-to-end neural diarization (EEND) method for an unknown number of speakers. In contrast to the conventional cascaded approach to speaker diarization, EEND ...
NHK

8K 120-Hz Video Real-Time Encoder and Decoder

In this paper, we introduce the world’s first 8K 120-Hz video real-time encoder and decoder that complies with ARIB STD-B32 1) . We evaluated the coding efficiency and demonstrated that 8K 120-Hz ...