OPTIMIZING MACHINE LEARNING MODEL PERFORMANCE
Certain aspects of the present disclosure provide techniques for receiving data defining a neural network; analyzing the data to determine a depth-first cut point for a depth-first traversal portion of an overall network traversal; performing depth-first traversal for the depth-first portion of the...
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| Main Author | |
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| Format | Patent |
| Language | English French |
| Published |
24.12.2020
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Certain aspects of the present disclosure provide techniques for receiving data defining a neural network; analyzing the data to determine a depth-first cut point for a depth-first traversal portion of an overall network traversal; performing depth-first traversal for the depth-first portion of the overall network traversal; and performing layer-based traversal for a layer-based portion of the overall network traversal.
Certains aspects de la présente invention concernent des techniques de réception de données définissant un réseau neuronal; d'analyse des données pour déterminer un premier point de coupe de profondeur d'une première partie de traversée de profondeur d'une traversée de réseau globale; de réalisation d'une première traversée de profondeur pour la première partie de profondeur de la traversée de réseau globale; et de réalisation d'une traversée basée sur une couche pour une partie à base de couche de la traversée de réseau globale. |
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| AbstractList | Certain aspects of the present disclosure provide techniques for receiving data defining a neural network; analyzing the data to determine a depth-first cut point for a depth-first traversal portion of an overall network traversal; performing depth-first traversal for the depth-first portion of the overall network traversal; and performing layer-based traversal for a layer-based portion of the overall network traversal.
Certains aspects de la présente invention concernent des techniques de réception de données définissant un réseau neuronal; d'analyse des données pour déterminer un premier point de coupe de profondeur d'une première partie de traversée de profondeur d'une traversée de réseau globale; de réalisation d'une première traversée de profondeur pour la première partie de profondeur de la traversée de réseau globale; et de réalisation d'une traversée basée sur une couche pour une partie à base de couche de la traversée de réseau globale. |
| Author | VARIA, Meghal |
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| DocumentTitleAlternate | OPTIMISATION DES PERFORMANCES D'UN MODÈLE D'APPRENTISSAGE MACHINE |
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| RelatedCompanies | QUALCOMM INCORPORATED |
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| Snippet | Certain aspects of the present disclosure provide techniques for receiving data defining a neural network; analyzing the data to determine a depth-first cut... |
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| SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
| Title | OPTIMIZING MACHINE LEARNING MODEL PERFORMANCE |
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