Deep learning network training method and device based on artificial intelligence

Abstract

The invention provides a deep learning network training method and device based on artificial intelligence. The method comprises the steps of: when a user initiates a task submission request for a target task via a Web front end, acquiring an operating environment packet indicated by the task submission request from a cluster server operating a deep learning framework, then building a deep learning network conforming to the network configuration indicated by the task submission request by using a network configuration generating tool in the operating environment packet, and generating a task instruction for indicating the cluster server to carry out distributed training on the deep learning network by using the operated deep learning framework according to the training information of the target task, so that the cluster server carries out distributed training on the deep learning network according to the task instruction and sends an execution progress of the distributed training to the Web front end. The method and the device solve the technical problem that the deep learning framework is inconvenient to use in the prior art.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to an artificial intelligence-based deep learning network training method and device. Background technique [0002] Deep learning, specifically, is a machine learning structure with multiple hidden layers. With the increasing complexity of the deep learning network and the increasing amount of training data, the disadvantage of the slow speed of single-machine training has gradually become prominent, so a method of using cluster servers to run the deep learning framework began to emerge. [0003] Although various open source deep learning frameworks are emerging in an endless stream, the use of deep learning frameworks is still relatively difficult for ordinary users and requires users to have certain experience. In the prior art, when using the deep learning framework, the user needs to submit tasks to the server cluster in command line mode and use the deep learn...

AI Technical Summary

Problems solved by technology

[0006] For this reason, the first purpose of the present invention is to propose a deep learning network training method based on artificial intelligence, to simplify the difficulty of using the deep learning framework itself when the cluster server runs the deep learning framework, and to facilitate users to use the deep learning framework to The deep learning network is trained to solve the technical problem of inconvenient use of the deep learning framework in the prior art

Images