One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

Create a folder called "checkpoints". Run this command to train the convolutional autoencoder on the images in the images folder. python3 train_autoencoder.py All checkpoints will be stored in the ...

Therefore, this study proposes a sensor self-diagnosis design method based on the integration of binary convolutional autoencoder and Bayesian inference (BCAE-BI). First, to extract the redundancy ...

Specifically, a cutting-edge 3D convolutional autoencoder is employed, which possesses the capability to estimate radio maps and quantify the uncertainty metric at each location. Then, an uncertainty ...

This project demonstrates the implementation and comparison of several machine learning algorithms on the MNIST dataset, including Convolutional Neural Networks (CNN), K-Nearest Neighbors (KNN), ...

School of Integrated Circuits, Shandong University, Jinan 250100, P. R. China Shenzhen Institute of Shandong University, Shenzhen 518057, P. R. China School of Integrated Circuits, Shandong University ...