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1. WO2020115706 - MODIFICATION OF A NEURAL NETWORK TOPOLOGY

Publication Number WO/2020/115706
Publication Date 11.06.2020
International Application No. PCT/IB2019/060492
International Filing Date 05.12.2019
IPC
G06N 3/10 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
10Simulation on general purpose computers
CPC
G06N 3/04
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
G06N 3/0445
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0445Feedback networks, e.g. hopfield nets, associative networks
G06N 3/0454
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0454using a combination of multiple neural nets
G06N 3/0472
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0472using probabilistic elements, e.g. p-rams, stochastic processors
G06N 3/082
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
082modifying the architecture, e.g. adding or deleting nodes or connections, pruning
G06N 3/084
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
084Back-propagation
Applicants
  • DATAVALORIS S.A.S. [FR]/[FR]
Inventors
  • GLAFKIDES, Jean-Patrice
Priority Data
62/775,75205.12.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) MODIFICATION OF A NEURAL NETWORK TOPOLOGY
(FR) MODIFICATION D'UNE TOPOLOGIE DE RÉSEAU NEURONAL
Abstract
(EN)
A method may include obtaining data representative of an NNT of a graph-based model that includes multiple components. The multiple components may include multiple neural nodes and at least one connection. The at least one connection may associate two or more of the neural nodes. The method may include displaying the NNT including the multiple components in a GUI via a display screen. The method may include receiving user input effective to indicate that at least one of the components of the NNT is to be modified. The user input may be received via the GUI. The method may include modifying the at least one of the components of the NNT. The at least one of the components may be modified based on the user input. The method may include displaying the NNT that comprises the modification of the at least one of the components via the GUI.
(FR)
L'invention concerne un procédé pouvant consister à obtenir des données représentatives d'une topologie de réseau neuronal (NNT) d'un modèle à base de graphique qui comprend de multiples composants. Les multiples composants peuvent comprendre de multiples nœuds neuronaux et au moins une connexion. La ou les connexions peuvent associer au moins deux des nœuds neuronaux. Le procédé peut consister à afficher la NNT comprenant les composants multiples dans une GUI par l'intermédiaire d'un écran d'affichage. Le procédé peut consister à recevoir une entrée d'utilisateur efficace pour indiquer qu'au moins l'un des composants de la NNT doit être modifié. L'entrée d'utilisateur peut être reçue par l'intermédiaire de la GUI. Le procédé peut consister à modifier le ou les composants de la NNT. Le ou les composants peuvent être modifiés sur la base de l'entrée d'utilisateur. Le procédé peut consister à afficher la NNT qui comprend la modification du ou des composants par l'Intermédiaire de la GUI.
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