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folder:人工智能实战与应用课程
folder:58.计算机视觉深度学习入门目的篇
folder:43.CNN进化
folder:70.人工智能与设计
folder:5.高等数学—偏导数
folder:36.升维大法之SVM
folder:28.KNN算法
folder:59.计算机视觉深度学习入门结构篇
folder:20.预测简史
folder:42.PyTorch（下）
folder:6.高等数学—积分
folder:34.PCA
folder:62.计算机视觉深度学习入门工具篇
folder:47.迁移学习
folder:51.RNN实战
folder:41.PyTorch（上）
folder:35.升维大法之神经网络
folder:67.监督学习－分类
folder:23让机器来思考之强化学习简介
folder:15.Python进阶（下）
folder:13.Python操作数据库、 Python爬虫
folder:54.课程总结
folder:18.让神经网络看懂图象
folder:57.Value Iteration Networks
folder:55.强化学习（上）
folder:9.线性代数—矩阵、等价类和行列式
folder:7.高等数学—正态分布
folder:53.RNN深度理解
folder:16.人工智能如何改变我们的未来生活
folder:1.高等数学—元素和极限
folder:8.线性代数—线性空间和线性变换
folder:49.时间序列分析
folder:38.梯度下降法
folder:25.朴素贝叶斯和最大似然估计
folder:4.高等数学—泰勒展开
folder:30.机器学习背后的数学（下）
folder:39.BP算法
folder:44.BatchNormalization
folder:69.人工智能金融应用
folder:12.Python基础课程（下）
folder:33.集群模型
folder:29.机器学习背后的数学（上）
folder:27.分类问题
folder:66.监督学习－回归
folder:3.高等数学—导数
folder:48.对抗网络
folder:24.贝叶斯理论
folder:68.自然语言处理导入
folder:22.让神经网络听懂故事
folder:17.人工智能简史
folder:50.RNN