Knowledge Background
Language Skills: Python(Numpy, Pytorch), c++
Math Skills: Linear Algebra, Calculus, Probability Theory
Basic/Traditional Machine Learning and Deep Learning Theory
Phase1: Basic Courses Practise & Review of Literature
1.1 CMU 10-714: Deep Learning Systems
Course Link: CMU 10-714 Webpage
Resources：
1.2 MIT 5.5940: TinyML and Efficient Deep Learning Computing
Course Link: MIT 5.5940 Webpage
1.3 Paper Reading Courses
Phase2: Detailed Practise Regarding Different Directions
Framework Learning
Resources/References
以下是本Roadmap参考的资源列表：
The following are the resources I refer to in this Roadmap: