EP 3953867 A1 20220216 - ACCELERATING NEURON COMPUTATIONS IN ARTIFICIAL NEURAL NETWORKS BY SELECTING INPUT DATA
Title (en)
ACCELERATING NEURON COMPUTATIONS IN ARTIFICIAL NEURAL NETWORKS BY SELECTING INPUT DATA
Title (de)
BESCHLEUNIGUNG VON NEURONENBERECHNUNGEN IN KÜNSTLICHEN NEURONALEN NETZEN DURCH AUSWAHL VON EINGANGSDATEN
Title (fr)
ACCÉLÉRATION DE CALCULS NEURONAUX DANS DES RÉSEAUX NEURONAUX ARTIFICIELS PAR SÉLECTION DES DONNÉES D'ENTRÉE
Publication
Application
Priority
IB 2019052881 W 20190408
Abstract (en)
[origin: WO2020208396A1] An example method for accelerating neuron computations in an artificial neural network (ANN) comprises receiving a plurality of pairs of first values and second values associated with a neuron of an ANN, selecting pairs from the plurality of pairs, wherein a count of the selected pairs is less than a count of all pairs in the plurality of pairs, performing mathematical operations on the selected pairs to obtain a result, determining that the result does not satisfy a criterion, and, until the result satisfies the criterion, selecting further pairs from the plurality, performing the mathematical operations on the selected further pairs to obtain further results, and determining, based on the result and the further results, an output of the neuron.
IPC 8 full level
G06N 3/063 (2006.01); G06N 3/08 (2006.01)
CPC (source: EP)
G06N 3/063 (2013.01); G06N 3/082 (2013.01)
Citation (search report)
See references of WO 2020208396A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
DOCDB simple family (application)
IB 2019052881 W 20190408; EP 19721844 A 20190408