This repository contains numerous applications of autoencoder neural networks. Projects include image denoising, detection of infected cells, and processing of the MNIST dataset. Each application ...

Slope site and sensor layout diagram. Based on the geological ... where the deep convolutional autoencoder extracts features corresponding to the normal operating state. Specifically, the encoder ...

In this paper, a novel learned image compression framework is proposed. Firstly, the asymmetric convolution block (ACB) is integrated into the variational auto-encoder framework, which can increase ...

Specifically, we introduce variational auto-encoder to compress the original agent state vector into a lower dimensional hidden space, where the state transfer probability is calculated fast. Then the ...