EP 3899808 A1 20211027 - METHOD FOR TRAINING A NEURAL NETWORK
Title (en)
METHOD FOR TRAINING A NEURAL NETWORK
Title (de)
VERFAHREN ZUM TRAINIEREN EINES NEURONALEN NETZES
Title (fr)
PROCÉDÉ POUR ENTRAÎNER UN RÉSEAU NEURONAL
Publication
Application
Priority
- DE 102018222347 A 20181219
- EP 2019082837 W 20191128
Abstract (en)
[origin: WO2020126378A1] A computer-implemented method for training a neural network (60), which is configured, in particular, to classify physical measurement variables, wherein the neural network (60) is trained using a training data set (X), and for training purposes, pairs comprising an input signal (x) and an associated desired output signal (y T ) are drawn from the training data set (X), and wherein parameters (θ) of the neural network (60) are adapted according to an output signal (y) of said neural network (60) when the input signal (x) is supplied and according to the desired output signal (y T ), characterised in that the pairs are always drawn from the whole training data set (X).
IPC 8 full level
G06N 3/08 (2006.01)
CPC (source: EP KR US)
G06F 18/213 (2023.01 - EP KR US); G06F 18/241 (2023.01 - US); G06N 3/047 (2023.01 - KR); G06N 3/063 (2013.01 - KR); G06N 3/08 (2013.01 - US); G06N 3/084 (2013.01 - EP KR)
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)
WO 2020126378 A1 20200625; CN 113243021 A 20210810; DE 102018222347 A1 20200625; EP 3899808 A1 20211027; JP 2022514886 A 20220216; JP 7137018 B2 20220913; KR 20210099149 A 20210811; TW 202105261 A 20210201; US 2021406684 A1 20211230
DOCDB simple family (application)
EP 2019082837 W 20191128; CN 201980084359 A 20191128; DE 102018222347 A 20181219; EP 19812975 A 20191128; JP 2021535840 A 20191128; KR 20217022763 A 20191128; TW 108146410 A 20191218; US 201917295434 A 20191128