Neural network sparse method and related products

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...

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.

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