Shows how to create a neural network from scratch in C# without a 3th party library
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Updated
Jan 9, 2019 - C#
Shows how to create a neural network from scratch in C# without a 3th party library
Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
Quick test to use font data to create training/testing data and train the model with ML.Net.
Digit recognition fully-connected neural network using the MNIST dataset, with support for batch and stochastic descent.
Simple neural network with backpropagation training
Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр
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