Neural network compression and acceleration method, storage equipment and terminal

A neural network and network technology, applied in the computer field, can solve the problems of high computing cost, unable to effectively reduce neural network computing resources and storage space, and achieve the effects of saving computing resources, reducing computing costs, and saving training time

Active Publication Date: 2018-04-20
广州方硅信息技术有限公司
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] Aiming at the shortcomings of the existing methods, the present invention proposes a neural network compression and acceleration method, storage device and terminal to solve the problems in the prior art that the calculation

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  • Neural network compression and acceleration method, storage equipment and terminal
  • Neural network compression and acceleration method, storage equipment and terminal
  • Neural network compression and acceleration method, storage equipment and terminal

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[0053] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings, in which the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary, and are only used to explain the present invention, and cannot be construed as limiting the present invention.

[0054] Those skilled in the art can understand that, unless specifically stated otherwise, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, eleme...

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Abstract

The invention provides a neural network compression and acceleration method, storage equipment and a terminal. The method comprises the steps that the original neural network is pruned; clustering quantification is carried out on a network weight of the pruned original network, and the original network after clustering quantification is trained to obtain a target neural network; a sparse matrix isused to store the target neural network; an input feature map is converted into an input matrix; and the sparse matrix is multiplied by the input matrix to obtain an output feature map correspondingto the input feature map. Thus, the computing resource and storage space of the neural network are reduced, and thus, the computing cost is reduced.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular, the present invention relates to a neural network compression and acceleration method, storage device and terminal. Background technique [0002] With the development of neural network models, in order to solve increasingly difficult problems such as classification, recognition and detection, deeper and larger neural network models have begun to be applied to such problems. For example, for deep learning algorithms that are currently widely used in artificial intelligence, the deep network structure is deep, and its calculation amount and model are large, so more computing resources and storage space are required. However, in production applications, server computing resources are becoming more and more scarce, the speed requirements are getting higher and higher, and the demand for porting to mobile terminals is becoming more and more urgent. Compression and test accele...

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Application Information

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IPC IPC(8): G06N3/08G06T1/20G06K9/62
CPCG06N3/082G06T1/20G06F18/2136G06F18/23213G06F18/24
Inventor 杨达坤曾葆明
Owner 广州方硅信息技术有限公司
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