GoOD 基础机器学习。Programming 任何语言的技能（最好是 Python/R）。
本课程是 Deep Learning 的一般概述，没有深入探讨任何具体方法。它适合想要开始使用深度学习来提高预测准确性的人。
- 反向传播、模组化模型
- Logsum 模组
- RBF 网
- MAP/MLE 丢失
- 参数空间变换
- 卷积模组
- 基于梯度的学习
- 用于推理的能量
- 学习目标
- 主成分分析、NLL
- 潜在变数模型
- 概率 LVM
- 损失函数
- 手写识别
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