Cellular Neural Networks (CNN) [wikipedia] [paper] are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that ...

This repository is the open source code for my latest work: "Through-the-Wall Radar Human Activity Recognition ... use RTM for MTI processing. Output: 2D matrix filtered_I. The micro-Doppler ...

A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.

In this swiftly advancing era, AI, particularly leveraging Convolution Neural Networks (CNN), revolutionizes flower identification. CNNs, known for image classification efficacy, play a pivotal role ...

To tackle the challenging image tampering detection problem, this article presents an attentional cross-domain deep architecture, which can be trained end-to-end. This architecture is composed of ...