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1. WO2014105865 - SYSTEM AND METHOD FOR PARALLELIZING CONVOLUTIONAL NEURAL NETWORKS

Publication Number WO/2014/105865
Publication Date 03.07.2014
International Application No. PCT/US2013/077606
International Filing Date 23.12.2013
IPC
G06N 3/063 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
063using electronic means
CPC
G06K 9/6256
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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 3/0454
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 3/063
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
063using electronic means
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06T 1/20
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
1General purpose image data processing
20Processor architectures; Processor configuration, e.g. pipelining
Applicants
  • GOOGLE INC. [US]/[US]
Inventors
  • KRIZHEVSKY, Alexander
  • SUTSKEVER, Ilya
  • HINTON, Geoffrey E.
Agents
  • PORTNOV, Michael
Priority Data
14/030,93818.09.2013US
61/745,71724.12.2012US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) SYSTEM AND METHOD FOR PARALLELIZING CONVOLUTIONAL NEURAL NETWORKS
(FR) SYSTÈME ET PROCÉDÉ PERMETTANT DE PARALLÉLISER DES RÉSEAUX NEURONAUX CLASSIQUES
Abstract
(EN) A parallel convolutional neural network is provided. The CNN is implemented by a plurality of convolutional neural networks each on a respective processing node. Each CNN has a plurality of layers. A subset of the layers are interconnected between processing nodes such that activations are fed forward across nodes. The remaining subset is not so interconnected.
(FR) La présente invention a trait à un réseau neuronal classique parallèle. Le CNN est mis en œuvre au moyen d'une pluralité de réseaux neuronaux classiques, chacun se situant sur un nœud de traitement respectif. Chaque CNN est doté d'une pluralité de couches. Un sous-ensemble de couches est interconnecté entre les nœuds de traitement de sorte que des activations sont soumises à une action directe d'un bout à l'autre des nœuds. Le sous-ensemble restant n'est pas interconnecté de la sorte.
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