基于 PyTorch 实现的 HRNet 手写数字识别项目，模型在 MNIST 数据集上训练，配合 C++ Qt 桌面应用实现实时手写输入识别。
Handwritten Digit Recognition using Neural Networks Overview This project implements a neural network using TensorFlow and Python to recognize handwritten digits from the MNIST dataset. Technologies ...
- MNIST Handwritten digit dataset, ideal for ML beginners and benchmarking. - CIFAR-10 / CIFAR-100 Small color images categorized into 10 or 100 classes — useful for deep learning experiments. - Open ...
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