推荐｜麻省理工课程：深度学习数学基础（含PPT）
《深度学习数学基础》（Mathematics of Deep Learning）是麻省理工大学的的教学课程。下面含最新的8张课程内容ppt，可直接访问地址下载获阅读。
Lecture1:Introduction and the Universality of Depth 1 Nets
http://elmos.scripts.mit.edu/mathofdeeplearning/2017/03/09/mathematics-of-deep-learning-lecture-1/
Lecture2:Depth Separation
http://elmos.scripts.mit.edu/mathofdeeplearning/2017/04/09/mathematics-of-deep-learning-lecture-2/
Lecture3: More on depth separation
http://elmos.scripts.mit.edu/mathofdeeplearning/2017/04/14/mathematics-of-deep-learning-lecture-3/
Lecture4:PAC Learning and Deep Nets
http://elmos.scripts.mit.edu/mathofdeeplearning/2017/05/08/mathematics-of-deep-learning-lecture-4/
Lecture5:Random Sparse Nets etc.
http://elmos.scripts.mit.edu/mathofdeeplearning/2017/05/28/mathematics-of-deep-learning-lecture-5-random-sparse-nets-etc/
Lecture6:Simple hierarchical models
http://elmos.scripts.mit.edu/mathofdeeplearning/2017/05/29/mathematics-of-deep-learning-lecture-6-simple-hierarchical-models/
Lecture7:Recovering Tree Models
http://elmos.scripts.mit.edu/mathofdeeplearning/2017/07/06/mathematics-of-deep-learning-lecture-7-recovering-tree-models/
Lecture8: Hierarchical Generative Models for Deep Learning
http://elmos.scripts.mit.edu/mathofdeeplearning/2017/07/06/mathematics-of-deep-learning-lecture-8-hierarchical-generative-models-for-deep-learning/