xnet is a header only library for multilayer perceptron
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Updated
Sep 25, 2021 - C++
xnet is a header only library for multilayer perceptron
The repository contains artificial neural networks algorithms implemented in cpp
some multi layer perceptrons MLPs as examples for use of algebra.hpp, a small collection of overloadings for a convenient use of std::vector as mathemtical object
Implementation Neural Network in C++
An implementation of class artificial neural networks in modern C++
Multilayer Perceptron C++/Qt implementation
Predictors for Trickling in Wireless Sensor Networks (WSNs)
This repository hosts a C++ header file to create and train Multi-Layer Perceptrons.
Machine learning software
fast, easy to use c++ neural network for arff files
MultilayerPerceptron Project is a C++ implementation of a multilayer perceptron capable of classifying handwritten Latin alphabet images with 2 to 5 hidden layers. Built with the MVC pattern and Qt library, it requires C++17, CMake, Qt5 Widgets/Charts, and Google Test library. The program can be customized and features options.
A clean, pure C++/CUDA implementation of Capsule Networks, no cuDNN, TF, Keras, or libraries.
This is the implementation of a simulator that classifies 2D data into two classes or multi-classes using a multi-layer perceptron (MLP). It was developed using Visual C++ and it can be used for learning and understanding Artificial Neural Network concepts.
Neural network from scratch with C++ and Python
Machine learning library for classification tasks
one layer and two layer neural networks
Collection of Machine Learning Algorithms
face recognition with deep learning
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