The reconstructed images (decoded_imgs) are compared visually with the original images to assess the performance of the autoencoder in reconstructing digit images. Conclusion This README.md provides a ...

This project demonstrates how to use an Autoencoder for image reconstruction on the CIFAR-10 dataset. It utilizes TensorFlow and Keras to implement the Autoencoder architecture. The project supports ...

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 ...

The demo analyzes a dataset of 3,823 images of handwritten digits where each image is 8 by 8 pixels. The demo program presented in this article uses image data, but the autoencoder anomaly detection ...