Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded
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Updated
Jan 10, 2021 - C++
Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded
face recognition with deep learning
Repository for "Inverse Kinematics of Tendon Driven Continuum Robots using Invertible Neural Network" (CompAuto 2022)
Collection of Machine Learning Algorithms
➿ Includes Single Neuron Implementation and Single Layer(Multi Neuron) Implementation
To understand neural networks thoroughly I implemented them from scratch in C++. This is the source code for the same.
Machine learning library for classification tasks
C++17 constexpr-enabled multilayer perceptron
A neural network project coded from scratch. With a model trained to classify English and Persian handwritten digits from images using C++ with Javascript Demo.
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.
Machine learning software
fast, easy to use c++ neural network for arff files
Simple neural network models from scratch using only C++ STL
Include c++ code which extract MNIST handwritten digit images from binary into OpenCV mat type.
This project contains many topics inside. Please check the video link below for details
I create this project for learning about neural network
Implementation of a neural network
The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) architecture with multiple layers and nodes, this project enhances the understanding of the learning processes involved in machine learning.
Repository for storing programs related to the Neural Network topic
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