Deep learning training real-time visualization method and device

Abstract

The invention discloses a deep learning training real-time visualization method and device, and the method comprises the steps: writing network model parameters used for the current model training into a json data file log after the current model training of a neural network is completed; reading data in the json data file log; and displaying the latest updated data in the json data file log in real time by adopting a preset visualization tool. According to the scheme, the network model parameters can be visually displayed in real time in the deep learning training process.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a real-time visualization method and device for deep learning training. Background technique [0002] In recent years, with the development of deep learning, deep neural networks have had a huge impact on machine learning research and application fields, and deep learning has also been widely used in various products. At the same time, deep learning models still have a "black box" feature, and people have been working to understand the complex process more thoroughly. Therefore, in the prior art, researchers have proposed visualization methods and developed corresponding visualization tools to facilitate the understanding of neural networks by developers and users. [0003] However, existing visualization methods cannot display the parameters in the deep learning training process in real time. Contents of the invention [0004] The technical problem solved by the pres...

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is that it is impossible to display network model parameters visually in real time during the deep learning training process

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