Parallel gradient descent implementation for logistic regression in c#
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Updated
Jun 8, 2022 - C#
Parallel gradient descent implementation for logistic regression in c#
Archive of C# code that was part of my System for Automated Interactive Lighting (SAIL) dissertation work (2009)
Digit recognition fully-connected neural network using the MNIST dataset, with support for batch and stochastic descent.
General gradient descent + neural network implementations in c# for any defined problem
Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development
Machine Learning - Linear Regression - GradientDescent algorithm
(Nonlinear) optimization algorithms in C#
2D or 3D multilateration in C++/C#/JS/Matlab/Python
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
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