Systeme und Verfahren für ein Optimiertes Mehradriges Rekurrentes Neuronales Netzwerk
Anmelder: Baidu USA LLC 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP3179415
- Aktenzeichen
- EP16202973
- Anmeldetag
- 8. Dezember 2016
- Veröffentlichung
- 18. September 2019
- Erteilung
- 18. September 2019
- Rechtsraum
- EP
- IPC
- G06N3/06G06N3/10
Abstract
Systems and methods for a multi-core optimized Recurrent Neural Network (RNN) architecture are disclosed. The various architectures affect communication and synchronization operations according to the Multi-Bulk-Synchronous-Parallel (MBSP) model for a given processor. The resulting family of network architectures, referred to as MBSP-RNNs, perform similarly to a conventional RNNs having the same number of parameters, but are substantially more efficient when mapped onto a modem general purpose processor. Due to the large gain in computational efficiency, for a fixed computational budget, MBSP-RNNs outperform RNNs at applications such as end-to-end speech recognition.
Anmelder
- Firma
- Baidu USA LLC
- Land
- 🇺🇸 USA
US-amerikanische Tochtergesellschaft des chinesischen Internetkonzerns Baidu, forscht an künstlicher Intelligenz, Suchtechnologie und autonomem Fahren.
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