All Notes

Notes from paper ArcFace: Additive Angular Margin Loss for Deep Face Recognition by Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou

A learned vector representation that encodes meaning as a point in space, where similar things end up close together.

A value which describes how much a transformation scales an Eigenvector

A set of vectors whose span doesn't change after a transformation.

Notes from 3Blue1Brown's video series, Essence of Linear Algebra

Since any vectors can be Basis Vectors, it's useful to understand how to translate vectors between bases

An object that describes a point and orientation relative to a BasePart

An operation between two 3d vectors that returns a vector.

Notes from Cross product introduction by Khan Academy.

A measure of how a matrix scales space.