2 citations · 5 across the 3 of their papers we have counts for
3 papers
Exploiting Layerwise Convexity of Rectifier Networks with Sign Constrained Weights
Senjian An, Farid Boussaid, Mohammed Bennamoun +1
By introducing sign constraints on the weights, this paper proposes sign constrained rectifier networks (SCRNs), whose training can be solved efficiently by the well known majoriza…
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries
Senjian An, Mohammed Bennamoun, Farid Boussaid
This paper provides a theoretical justification of the superior classification performance of deep rectifier networks over shallow rectifier networks from the geometrical perspecti…
From Deep to Shallow: Transformations of Deep Rectifier Networks
Senjian An, Farid Boussaid, Mohammed Bennamoun +1
In this paper, we introduce transformations of deep rectifier networks, enabling the conversion of deep rectifier networks into shallow rectifier networks. We subsequently prove th…