GitHub

sujeets2330/-Machine-Translation-using-Encoder-Decoder-Architecture

A deep learning-based Machine Translation system that translates text from one language to another using an Encoder-Decoder architecture with attention mechanism. Built using TensorFlow, Keras, and ...
GitHub

donaldtagne/Encoder-Decoder

Modern Large Language Models (LLMs) such as GPT, BERT, and T5 are built on the Transformer architecture, introduced by Vaswani et al. in the 2017 paper "Attention is All You Need". This architecture ...
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 ...
Forbes

Overview Of How To Create Deepfakes - It’s Scarily Simple

Hold on - AI and Deep Learning are that easy? Of course, it’s not that easy: There is a big difference between using a model and training a model. Before we can reach the point where we have such a ...
IEEE

An Encoder-Decoder Model Based On Spiking Neural Networks For Address Event Representation Object Recognition

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...
EDN

Low Cost Infrared Encoder/Decoder

MCP2120 is a low-cost, high-performance, fully-static infrared encoder/decoder. This device sits between a UART and an infrared (IR) optical transceiver The data received from a standard UART is ...