MNIST 手写数字识别基准数据集和光学网络训练代码
Abstract
The MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used for training various image processing systems. It contains 60,000 training images and 10,000 testing images. Each image is a $28 \times 28$ pixel grayscale image of a handwritten digit from 0 to 9. It is considered the "Hello World" of machine learning and is a standard benchmark for evaluating learning algorithms and neural network architectures.
Publication details
- Journal / source
- ScienceDB
- Publication date
- 5 January 2026
- Language
- EN
- Document type
- Dataset