A from-scratch basic backpropagation neural network implemented in C#.
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Updated
May 27, 2019 - C#
A from-scratch basic backpropagation neural network implemented in C#.
Quick test to use font data to create training/testing data and train the model with ML.Net.
MNIST Neuronal Network drawing program
MNIST - Handwritten Digit Classification Example
It reads handwritten numbers given an input of pixel values. A supervised learning, gradient descent, mini-batching, softmax-output-activation neural network that is meant to be trained on the MNIST dataset (dataset not included in this repository).
Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр
Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
Shows how to create a neural network from scratch in C# without a 3th party library
Training a Neural network in Unity 3D to recognize handwritten digits from the MNIST dataset
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