  Batch normalization has become ubiquitous in many state-of-the-art nets. It
accelerates training and yields good performance results. However, there are
various other alternatives to normalization, e.g. orthonormalization. The
objective of this paper is to explore the possible alternatives to channel
normalization with orthonormalization layers. The performance of the algorithms
are compared together with BN with prescribed performance measures.
