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1. (WO2019067374) DYNAMIC TUNING OF TRAINING PARAMETERS FOR MACHINE LEARNING ALGORITHMS
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Pub. No.: WO/2019/067374 International Application No.: PCT/US2018/052493
Publication Date: 04.04.2019 International Filing Date: 24.09.2018
IPC:
G06N 99/00 (2010.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
99
Subject matter not provided for in other groups of this subclass
Applicants:
AMAZON TECHNOLOGIES, INC. [US/US]; P.O. Box 81226 Seattle, Washington 98108-1226, US
Inventors:
SARKAR, Tuhin; US
ANANDKUMAR, Animashree; US
DIRAC, Leo Parker; US
Agent:
ADAMS, Scott S.; US
ADAMS, Dylan O.; US
ALBERT, Philip H.; US
BYER, Benjamin J.; US
CHANG, Jack; US
CHUNG, Matthew H.; US
CHOU, Timothy; US
COLBURN, Heather M.; US
DAGGETT, David K.; US
DAVISON, Barry L.; US
DONOHUE, Michael J.; US
JIMÉNEZ, José J.; US
JOHNSON, Bruce L.; US
MCCUNE, Connor L.; US
MOERSFELDER, Matthew E.; US
RABURN, Greg A.; US
ROGGE, Mark H.; US
RONDEAU, JR., George C.; US
SCHLEIFER, David C.; US
VAGNER, Allison; US
Priority Data:
15/716,41726.09.2017US
Title (EN) DYNAMIC TUNING OF TRAINING PARAMETERS FOR MACHINE LEARNING ALGORITHMS
(FR) RÉGLAGE DYNAMIQUE DE PARAMÈTRES D'APPRENTISSAGE D'ALGORITHMES D'APPRENTISSAGE MACHINE
Abstract:
(EN) A system such as a service of a computing resource service provider includes executable code that, if executed by one or more processors, causes the one or more processors to initiate a training of a machine-learning model with a parameter for the training having a first value, the training to determine a set of parameters for the model, calculate output of the training, and change the parameter of the training to have a second value during the training based at least in part on the output. Training parameters may, in some cases, also be referred to as hyperparameters.
(FR) L'invention concerne un système tel qu'un service d'un fournisseur de services de ressources informatiques comprenant un code exécutable qui, s'il est exécuté par un ou plusieurs processeurs, amène le ou les processeurs à initier un apprentissage d'un modèle d'apprentissage machine au moyen d'un paramètre d'apprentissage ayant une première valeur, l'apprentissage servant à déterminer un ensemble de paramètres du modèle, à calculer une sortie de l'apprentissage, et à modifier le paramètre de l'apprentissage pour qu'il ait une seconde valeur pendant l'apprentissage sur la base, au moins en partie, de la sortie. Des paramètres d'apprentissage peuvent, dans certains cas, être également appelés hyperparamètres.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)