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

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 ...
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 ...
Analytics India Magazine

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

The time-series data is a type of sequential data and encoder-decoder models are very good with the sequential data and the reason behind this capability is the LSTM or RNN layer in the network. In ...
Analytics India Magazine

Hands-on Guide to Image Denoising using Encoder-Decoder Model

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. Having clear and processed images or videos is very important in any computer vision ...