Single layer neural network (Perceptron) in C++
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Updated
May 14, 2018 - C++
Single layer neural network (Perceptron) in C++
Solves the binary A XOR B problem using only perceptrons with threshold activation functions and the perceptron learning rule. Implemented in C++.
This is a C++/Qt application which fits and visualises the straight line for a binary perceptron.
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.
Artificial neural networks that performs number recognition functions using FANN library
a simple artificial neural network based on c++
This project is aim to create a sandbox for reinforcement learning experiments on artificial creatures that will act in complex simulated environment
Classification is made in 2-dimensional space with artificial neural networks learning rules. Perceptron and Delta learning rules are implemented in different layers.
Easy to use library to create Neural Networks in C++
Hopfield network (HN) Image Recognition
Differentiating open pistachios from closed ones.
ocaml binding for FALCONN
Configurable Feed-Forward Backpropagation Neural Network in C++
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