Simple neural network with backpropagation training
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Updated
Mar 20, 2023 - C#
Simple neural network with backpropagation training
Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр
Quick test to use font data to create training/testing data and train the model with ML.Net.
Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
Digit recognition fully-connected neural network using the MNIST dataset, with support for batch and stochastic descent.
Shows how to create a neural network from scratch in C# without a 3th party library
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