Vesícula residual

Residual Networks of Residual Networks: Multilevel Residual Networks

A residual-networks family with hundreds or even thousands of layers dominates major image recognition tasks, but building a network by simply stacking residual blocks inevitably limits its optimization ability. This paper proposes a novel residual-network architecture, Residual networks of Residual networks (RoR), to dig the optimization ability of residual networks. RoR substitutes optimizing...

RESIDUAL SOLUBILITY OF SF-GROUPS

Seifert Fibre Groups (SF-Gps) have been introduced and their first derived groups have been worked out in an earlier paper by the author [2,3]. Now we aim to prove that they are residually soluble and residually finite.

Residual CNDS

Convolutional Neural Networks nowadays are of tremendous importance for any image classification system. One of the most investigated methods to increase the accuracy of CNN is by increasing the depth of CNN. Increasing the depth by stacking more layers also increases the difficulty of training besides making it computationally expensive. Some research found that adding auxiliary forks after in...

Residual Deterrence ∗

Successes of law enforcement in apprehending offenders are often publicized events. Such events have been found to result in temporary reductions in offending, or “residual deterrence”. We provide a theory of residual deterrence which accounts for the incentives of both enforcement officials and potential offenders. Our theory rests on the costs of reallocating enforcement resources. In light o...

On the Discrete Cumulative Residual Entropy