28 citations · 70 across the 12 of their papers we have counts for
3 papers · 1 filter
Training Neural Networks in Single vs Double Precision
Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
The commitment to single-precision floating-point arithmetic is widespread in the deep learning community. To evaluate whether this commitment is justified, the influence of comput…
Representational Capacity of Deep Neural Networks -- A Computing Study
Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
There is some theoretical evidence that deep neural networks with multiple hidden layers have a potential for more efficient representation of multidimensional mappings than shallo…
Singular Value Decomposition and Neural Networks
Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
Singular Value Decomposition (SVD) constitutes a bridge between the linear algebra concepts and multi-layer neural networks---it is their linear analogy. Besides of this insight, i…