An autoencoder is a type of unsupervised neural network that learns to represent input data in a compressed latent space. This compressed representation captures the essential features of the data ...

This project will introduce the Variational Auto Encoder for processing images, using CelebA dataset in Python. The aim of this project is to introduce the Variational Auto Encoder, both theoretically ...

Abstract: This paper proposes a method to improve the performance of channel coding by using Auto Encoder. The channel coding technique used in this paper is the Golay code. The proposed method is to ...

Abstract: Recently, deep learning based end-to-end communication systems have been developed, where both the transmitter and the receiver are represented as deep neural networks (DNN) and an ...