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1. (WO2019046662) DENSELY CONNECTED NEURAL NETWORKS WITH OUTPUT FORWARDING
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Pub. No.: WO/2019/046662 International Application No.: PCT/US2018/048983
Publication Date: 07.03.2019 International Filing Date: 30.08.2018
IPC:
G06N 3/00 (2006.01) ,G06N 3/02 (2006.01) ,G06N 3/04 (2006.01) ,G06N 3/08 (2006.01) ,G06N 5/00 (2006.01) ,G06N 5/02 (2006.01) ,G06N 5/04 (2006.01) ,G06K 9/66 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
04
Architecture, e.g. interconnection topology
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
08
Learning methods
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5
Computer systems utilizing knowledge based models
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5
Computer systems utilizing knowledge based models
02
Knowledge representation
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5
Computer systems utilizing knowledge based models
04
Inference methods or devices
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
64
using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix
66
references adjustable by an adaptive method, e.g. learning
Applicants:
PAYPAL, INC. [US/US]; 2211 North First Street San Jose, California 95131, US
Inventors:
SHEN, Shiwen; US
ZHU, Danielle; US
PAN, Feng; US
Agent:
CHEN, Tom; US
Priority Data:
15/692,37131.08.2017US
Title (EN) DENSELY CONNECTED NEURAL NETWORKS WITH OUTPUT FORWARDING
(FR) RÉSEAUX NEURONAUX CONNECTÉS DENSÉMENT AVEC TRANSFERT DE SORTIE
Abstract:
(EN) A densely connected neural network can be used to predict values using a trained model. This unique architecture allows for more accurate prediction by allowing better data visibility across different layers of the network in various embodiments. Outputs from every previous layer in the neural network can be forwarded to every subsequent layer. Input selection operations may be performed to reduce and/or combine increased numbers of inputs that may arrive at downstream neurons. The architecture may be broadly applied in a large number of different modeling contexts.
(FR) La présente invention concerne un réseau neuronal connecté densément qui peut être utilisé pour prédire des valeurs à l'aide d'un modèle formé. Cette architecture unique permet une prédiction plus précise en permettant une meilleure visibilité des données sur différentes couches du réseau dans divers modes de réalisation. Des sorties provenant de chaque couche précédente dans le réseau neuronal peuvent être transférées à chaque couche suivante. Des opérations de sélection d'entrée peuvent être réalisées pour réduire et/ou combiner des nombres améliorés d'entrées qui peuvent arriver à des neurones en aval. L'architecture peut être largement appliquée dans un grand nombre de différents contextes de modélisation.
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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)