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）
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
见 mnistClassification.pdf
对应的latex源码：https://github.com/zhengyima/mnist-classification-latex
请问可以提供实验报告模板的latex源码吗
介绍cnn段落时，写成CMM
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