Lecture
This lecture covers the topic of auto-encoders, discussing concepts such as the four fundamental subspaces, projections, and generalized inverses. It explains the conditions for a matrix to be invertible and the importance of generalized inverses in solving linear equations. The lecture also delves into the role of special square matrices in constructing inverses and the properties of projections onto different subspaces.