QuQ
项目主要完成了对MNIST手写数字数据集的分类任务
任务通过有监督与无监督两种方式分别完成
有监督学习方法基于深度学习，参考TensorFlow的官方Demo
无监督学习方法基于聚类
分别采用TensorFlow提供的K-Means相关库与不使用库的纯Python实现两种方法完成
因为是最基础的机器学习实践项目，结果图就不放了
可以明显体会到无监督学习方式的完成精度低于有监督学习方式
macOS Mojave 10.14 + Python3.6
Intel Core i7
Radeon Pro 560X
谨为了帮lazy的猪猪翔完成她的作业
这种程度的project最后都拿了优
看来课程要求还是比较低的 :)
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