This is the third part of the VC Dimension and Neural Networks series. This part discusses the important theorems for vc dimension of MLPs.

This is the second part of the VC Dimension and Neural Networks series. This part lists important theorems with proofs and explanations. To know the basics of VC dimension, check Part 1 - VC Dimension.

This is the first part of the VC Dimension and Neural Networks series. Basic definition and some examples of vc dimension of learning algorithms are explained here.