zhengyima / Mnist Classification
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）
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mnist-classification
使用多种方法完成MNIST分类任务
Python 3.6
Pytorch 1.0
Scikit-learn 0.21
无需下载数据直接跑，代码自动下载
模型
- 逻辑回归 Logistic Regression
- 多层感知机 MLP
- K近邻 KNN
- 支持向量机 SVM
- 卷积神经网络 CNN
- 循环神经网络 RNN
实验报告
见 mnistClassification.pdf
对应的latex源码：https://github.com/zhengyima/mnist-classification-latex
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