Method for checking model training notifications and training logs at mobile terminal

Abstract

The invention provides a method for dynamically receiving an artificial intelligence model training notification at a mobile terminal in a cross-platform manner. During artificial intelligence technology development, a large number of deep learning model tasks need to use a GPU cluster at the cloud to complete training tasks. The deep learning model training state message notification can be checked in real time by using the mobile terminal device, the experience of checking the model training state and checking the training state feedback in real time by the user can be greatly improved, andthe process of participating in the competition becomes more and more convenient and efficient. Therefore, according to a technical scheme, a competition training task instruction can be sent to a GPUserver for training on equipment such as a mobile terminal HTML5 page or a local terminal PC; according to the method for checking the training notice and the training process in the mobile terminalequipment at any time, the single use scene limitation that a user checks the training process and the notice in the competition training process is solved. A user can check the competition training process and the result notification in real time through the mobile terminal equipment in any scene, and the user experience and the competition training time efficiency of participating in competitiontraining are improved.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to a method for viewing model training notifications and training logs on a mobile terminal and a visualization platform for viewing artificial intelligence model training notifications and training processes. Background technique [0002] In the development of artificial intelligence technology, a large number of deep learning model tasks need to use GPU clusters in the cloud to complete training tasks. In the field of artificial intelligence data processing, there are two existing ways to train models: [0003] 1) Completely use GPU calculations to train artificial intelligence models in devices such as PCs with GPU hardware at the local end. [0004] 2) Completely send the local data model to the GPU server for artificial intelligence model training. [0005] No matter which one it is, the existing technology can only view the training process and training resul...

AI Technical Summary

Problems solved by technology

However, for this, the prior art does not provide an effective technical solution

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