This repository demonstrates a simple autoencoder model for compressing and reconstructing images. The autoencoder is built using TensorFlow and Keras and is trained on a dataset of images to learn a ...

This repository contains a convolutional autoencoder for denoising images, specifically using the MNIST dataset. This project demonstrates how to implement a deep convolutional autoencoder for image ...

In this paper, we treat the image generation task using an autoencoder, a representative latent model. Unlike many studies regularizing the latent variable’s distribution by assuming a manually ...

This image provides a complete visual guide to the autoencoder neural network, featuring five illustrations that detail each stage of the data encoding and decoding process. It serves as an ...