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
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.
From linear regression towards neural networks...
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
Machine learning software
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Machine learning library for classification tasks
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Multilayer Perceptron C++/Qt implementation
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.
Predictors for Trickling in Wireless Sensor Networks (WSNs)
Collection of Machine Learning Algorithms
This repository hosts a C++ header file to create and train Multi-Layer Perceptrons.
fast, easy to use c++ neural network for arff files
A clean, pure C++/CUDA implementation of Capsule Networks, no cuDNN, TF, Keras, or libraries.
algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network
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