Getting started with linear algebra. The goal of this series is to provide content for beginners who wants to understand enough linear algebra to be confortable with machine learning and deep learning. However, I think that the chapter on linear algebra from the Deep Learning book is a bit tough for beginners. So I decided to produce code, examples and drawings on each part of this chapter in order to add steps that may not be obvious for beginners.

*We have developed a linear algebra library interface called \SLAP" that guarantees consistency (with respect to dimensions) of matrix (and vector) operations by using generative phantom types as fresh identi ers for statically checking the equality of sizes (i.e., dimensions).*Feb 01, 2019 · Introduction-to-Linear-Algebra-5th-Edition---EE16A / Exam_Prep / Pull request Compare This branch is even with dfyfhqs:master. AlanHe-Xiaoyu EE 16A Finalized We have developed a linear algebra library interface called \SLAP" that guarantees consistency (with respect to dimensions) of matrix (and vector) operations by using generative phantom types as fresh identi ers for statically checking the equality of sizes (i.e., dimensions). An Introduction to Linear Algebra (Sept. 27, 2017) There is hardly any theory which is more elementary than linear algebra, in spite of the fact that generations of professors and textbook writers have obscured its simplicity by preposterous calculations with matrices.