Late-time transient electromagnetic (TEM) data contain deep subsurface information and are important for resolving deeper electrical structures. However, due to their relatively small signal ...

Este projeto implementa um Autoencoder Denoising utilizando a biblioteca Keras para remover ruído de imagens de dígitos manuscritos. O modelo é treinado no dataset MNIST, onde imagens originais são ...

Autoencoders are a type of deep neural network and are widely used for unsupervised learning, particularly in tasks that require feature extraction and dimensionality reduction. While most research ...