Operating system for deep neural network and operating method

A deep neural network and computing system technology, applied in neural learning methods, biological neural network models, marketing, etc., can solve the problems of large network communication overhead, small network communication overhead, and low computing efficiency, and achieve low computing efficiency , improve computing efficiency, and solve the effect of large network communication overhead

Active Publication Date: 2015-10-28
SHENZHEN TENCENT COMP SYST CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Embodiments of the present invention provide a deep neural network computing system and computing method with high computing efficiency and low network communication overhead; Expensive technical issues

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  • Operating system for deep neural network and operating method
  • Operating system for deep neural network and operating method
  • Operating system for deep neural network and operating method

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Embodiment Construction

[0029] Referring to the drawings, wherein like reference numerals represent like components, the principles of the present invention are exemplified when implemented in a suitable computing environment. The following description is based on illustrated specific embodiments of the invention, which should not be construed as limiting other specific embodiments of the invention not described in detail herein.

[0030] In the following description, specific embodiments of the present invention are described with reference to steps and symbols for operations performed by one or more computers, unless otherwise stated. Accordingly, it will be understood that the steps and operations, which at times are referred to as being performed by a computer, include manipulation by a computer processing unit of electronic signals representing data in a structured form. This manipulation transforms the data or maintains it at a location in the computer's memory system that can reconfigure or ot...

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Abstract

The present invention provides an operating system for a deep neural network. The operating system comprises a master server, a plurality of center parameter servers and a plurality of calculation modules, wherein the calculation module comprises a local parameter server and a plurality of calculation elements. The present invention also provides an operating method for the operating system for the deep neural network. According to the operating system for the deep neural network and the operating method, by arranging the local parameter server, operating efficiency of the operating system is improved and network communication cost of the operating system is reduced.

Description

technical field [0001] The invention relates to the field of computing structures, in particular to a computing system and a computing method of a deep neural network. Background technique [0002] At present, when advertisements are placed in the industry, a method based on an estimation of advertisement click rate is widely used to rank advertisements. The specific method is to first estimate the click-through rate of the candidate advertisement through the deep neural network, that is, the predicted click-through rate of the advertisement (pCTR, predicted click-through rate), then calculate the quality of the advertisement based on pCTR, and finally calculate the advertisement according to Bid (Bid)*Quality is displayed in reverse order, and the higher the bid and the higher the quality of the advertisement, the higher the ranking. The ranking follows the Generalized Second Price Auction (GSP, Generalized Second Price Auction) mechanism, which can maximize the revenue of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06N3/08
Inventor 李毅邹永强金涬郭志懋
Owner SHENZHEN TENCENT COMP SYST CO LTD
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