mnist-classification

mnist-classification

zhengyima

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）

python3
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294 Stars
93 Forks
294 Watchers
Python Language
Cost to Build
$59.2K
Market Value
$127.3K
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Growth over time

6 data points  ·  2021-08-01 → 2023-05-01
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What is the zhengyima/mnist-classification GitHub project? Description: "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）". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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