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 ...

Keywords: hyperspectral images, spectral unmixing, endmembers, abundance maps, image processing, deep learning, autoencoder, algal bloom Citation: Alfaro-Mejía E, Manian V, Ortiz JD and Tokars RP ...