Implementation of a neural network
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Updated
Nov 5, 2018 - C++
Implementation of a neural network
➿ Includes Single Neuron Implementation and Single Layer(Multi Neuron) Implementation
Machine learning software
Simple neural network models from scratch using only C++ STL
face recognition with deep learning
To understand neural networks thoroughly I implemented them from scratch in C++. This is the source code for the same.
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.
Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded
C++17 constexpr-enabled multilayer perceptron
Repository for storing programs related to the Neural Network topic
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.
Repository for "Inverse Kinematics of Tendon Driven Continuum Robots using Invertible Neural Network" (CompAuto 2022)
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
Machine learning library for classification tasks
Collection of Machine Learning Algorithms
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