Handwriting Recognition using ML.NET

This project uses MNIST from the PyTorch torchvision dataset to create an ONNX training model used to recognize handwriting digits. This also contains a Visual C# Windows Forms Apps project to consume the model.

Реализация алгоритма обратного распространения ошибки для обучения нейронной сети для распознавания рукописных цифр

Recognizing handwritten digits with Convolutional Neural Network that implemented from scratch.

Hand written digit recognition with customer paint window for testing. Pretrained on MINTs data set.