Network structure searching method, device and apparatus and storage medium

Abstract

The embodiment of the invention discloses a network structure searching method, device and apparatus and a storage medium. The network structure searching method comprises the following steps: acquiring a first network structure according to a preset searching strategy; determining target network performance of the first network structure through a preset performance prediction model; updating the searching strategy according to the target network performance, obtaining a second network structure according to the updated searching strategy until meeting preset search stopping conditions. According to the embodiment of the invention, the training time of network structures is shortened, and the search time of network structures is reduced.

Description

technical field [0001] The embodiment of the present application relates to the technical field of machine learning, and specifically relates to a network structure search method, device, device, and storage medium. Background technique [0002] With the rapid development of deep learning technology, deep learning technology has been widely used, such as in image recognition, speech recognition and so on. [0003] However, it is very difficult to manually design a neural network with excellent performance. For example, the structural design, training strategy, and parameter adjustment methods of the neural network often require researchers to spend a lot of manpower and material resources on experimental exploration. [0004] At present, neural network architecture search algorithms are proposed in the prior art, aiming at automatically completing the search of neural network architectures, so as to solve the problems existing in artificially designed neural networks. Howev...

AI Technical Summary

Problems solved by technology

However, the existing neural network architecture search algorithm has the problem of long search time

Images