# zhengyima/mnist-classification

<https://repo.masters-masters.com/en/repos/zhengyima/mnist-classification>

[Home](https://repo.masters-masters.com/en) › [zhengyima](https://repo.masters-masters.com/en/owners/zhengyima) › [mnist-classification](https://repo.masters-masters.com/en/repos/zhengyima/mnist-classification)

zhengyima/mnist-classification has 462 stars on GitHub. Its RepoMasters card: Alpha tier. Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic… Language: Python.

| Field | Value |
| --- | --- |
| Owner | [zhengyima](https://repo.masters-masters.com/en/owners/zhengyima) |
| Stars | 462 |
| Forks | 89 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | python3, pytorch, scikit-learn, cnn, knn, mlp, rnn, svm, logistic-regression, mnist |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [zhengyima/mnist-classification](https://github.com/zhengyima/mnist-classification) |

## Repository

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.