A simple neural network emulator of a multilayer perceptron without using external library methods for classification digits (0, 1, 2 and 3) represented as an array of 0 and 1.
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Updated
Jul 16, 2023 - C#
A simple neural network emulator of a multilayer perceptron without using external library methods for classification digits (0, 1, 2 and 3) represented as an array of 0 and 1.
Latent Structured Perceptron Toolkit based on C#
System of branch prediction based on simple perceptron. Fast path-based and idealized piecewised predictor.
Windows application demonstrating a process of Perceptron training.
implementation of a 2D quantum perceptron
Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр
Visualization of the work of a trained perceptron to recognize even and odd numbers.
AmateurAI is a C# class library (.NET Framework) where I store all the AI components I've written while learning to program AI from scratch.
Neural network models
The Perceptron is a machine learning algorithm that provides classified results for computing. It dates back to the 1950s and represents a fundamental example of how machine learning algorithms work to develop data.
A simple implementation of a single and multi layered perceptron
Simple perceptron visualisation (C#)
A port of karpathy/micrograd from Python to C#. The project itself is a tiny scalar-valued autograd engine and basic neural network implementation on top of it.
Implementation of Perceptron using quantum gate in Q#
This is a project that contains several techniques of AI to data forecast.
Machine Learning library for .NET Core
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