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This project is my magistracy resulting work. It is intended to be an example of using neural networks in cryptography. Hashing functions are chosen as the first step in this broad topic. Implementation language is F# running under .NET 4.0 with VS 2010 RC

http://neuralcryptography.codeplex.com/Tags | fsharp mercurial neural-network |

Implementation | |

License | Ms-PL |

Platform | Windows |

Neural Network Basic contain implementation of simple and effective implementation of neural network. Functionality it is developed in C++ native programming language, with use STL and Visual Studio C++ Express 2010.

neural-network neural-networksLightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.

Digit recognition contain implementation of simple and effective implementation of neural network. Neural network is used to recognize handwritten digits - OCR system. Core functionality it is developed in C++ native programming language, STL, boost, GUI in C++ .NET.

neural-network ocr recognitionBack Propagation Neural Network ( BPN ) is one of neural-network algorithms.

This is simple Back-Propagation Neural Network simulation using C#. This code is a part of my "Supervised Neural Network" book written in 2006.

neural-networkFast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read intro

Java Kohonen Neural Network Library Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map).

Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.

ConvNetJS is a Javascript implementation of Neural networks, It currently supports Common Neural Network modules, Classification (SVM/Softmax) and Regression (L2) cost functions, A MagicNet class for fully automatic neural network learning (automatic hyperparameter search and cross-validatations), Ability to specify and train Convolutional Networks that process images, An experimental Reinforcement Learning module, based on Deep Q Learning.

artificial-intelligence neural-networks machine-learning deep-learningMulti Touch Digit OCR Project is a wpf project that works on multi touch devices but it works well on normal devices , this project uses matlab core , that creates 4 feed forward neural network and train them with Back Propagation Algorithm for detecting numbers that you draw .

backpropagation com-library machine-learning matlab multitouch neural-networkParmesan is a library adding variational and semi-supervised neural network models to the neural network library Lasagne.

Artificial neural network implemented in Scheme

A practice implementation of a neural network in erlang

A neural network to find the parity of 3 input binary variable.

A simple C++ artificial neural network library *OUT OF DATE*

C++ Implementation of Artificial Neural Network

Small MATLAB library implementing neural network training exploiting CUDA

Implementation of neural network in java

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