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ml
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SUMMARY.md
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目录
简介
基础知识
模型评估
深度学习基础
深度学习简述
数学基础
图像相关
决策树
回归问题
线性模型
k-近邻算法
支持向量机
贝叶斯分类器
神经网络
RNN详解
CNN详解
多任务学习
ResNet详解
目标检测
自然语言理解与交互
强化学习