Neural network sparse method and related products

A neural network, sparse technology, applied in the field of neural networks, can solve the problems of high power consumption and large amount of calculation

Pending Publication Date: 2019-11-19
CAMBRICON TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The operation of the existing neural network is based on the calculation of the original data such as input data and weights to obtain the corresponding results. The calculation of such original data requires a large amount of calculation and high power consumption.

Method used

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  • Neural network sparse method and related products
  • Neural network sparse method and related products
  • Neural network sparse method and related products

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Embodiment Construction

[0030] In order to enable those skilled in the art to better understand the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is a part of the embodiments of the present disclosure, but not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present disclosure.

[0031] In the aforementioned sparse method for a neural network, the first type includes: a thinning threshold or a thinning rate.

[0032] In the above-mentioned sparse method of a neural network, the calling of the first sparse method matching the first type to perform a sparse operation on the data to be sparse to obtain the sparse data specifically includes:...

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Abstract

The invention provides a neural network sparse method and a computing chip. The method is used for executing sparse processing in neural network operation and then performing operation. The technicalscheme provided by the invention has the advantages of small calculation amount and low power consumption.

Description

technical field [0001] The present disclosure relates to the field of neural networks, in particular to a neural network sparse method and related products. Background technique [0002] Artificial Neural Network (ANN) is a research hotspot in the field of artificial intelligence since the 1980s. It abstracts the human brain neuron network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods. In engineering and academia, it is often referred to directly as a neural network or a neural network. A neural network is an operational model consisting of a large number of nodes (or neurons) connected to each other. The operation of the existing neural network is based on input data and raw data such as weights to obtain corresponding results. The calculation of such raw data requires a large amount of calculation and high power consumption. Contents of the invention [0003] The discl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063G06N3/08
CPCG06N3/063G06N3/08
Inventor 不公告发明人
Owner CAMBRICON TECH CO LTD
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