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Deep learning training task management and control method and device based on copy mode

A technology of deep learning and task control, applied in the direction of neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as spending a lot of time and energy, and achieve the effect of improving efficiency, good management, and clear management logic

Active Publication Date: 2020-11-03
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems existing in the prior art, the present invention innovatively proposes a deep learning training task management and control method and device based on the copy mode, which effectively solves the problem that a lot of time and energy are spent on the existing deep task training, and effectively improves Efficient training of deep learning tasks

Method used

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  • Deep learning training task management and control method and device based on copy mode
  • Deep learning training task management and control method and device based on copy mode
  • Deep learning training task management and control method and device based on copy mode

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Embodiment 1

[0055] Such as Figure 1-Figure 2 As shown, the present invention provides a deep learning training task management and control method based on replica mode, including:

[0056] S1, binding the deep learning training task input by the user with the copy of the training task;

[0057] S2, the monitoring module monitors the copy of the training task, and sends a control command according to the operation input by the user;

[0058] S3. The execution module receives the control instruction sent by the monitoring module, processes the deep learning training task according to the control instruction, and returns the processing result to the monitoring module.

[0059] Among them, such as image 3 As shown, step S1 specifically includes:

[0060] S11. Obtain the parameter information of the deep learning training task input by the user;

[0061] S12. Generate and save a training task copy of the corresponding training task according to the deep learning training task parameter i...

Embodiment 2

[0079] Such as Figure 6 As shown, the technical solution of the present invention also provides a deep learning training task management and control device based on replica mode, including:

[0080] Binding unit 101, binding the deep learning training task input by the user with the copy of the training task;

[0081] The monitoring unit 102, the monitoring module monitors the copy of the training task, and sends a control instruction according to the operation input by the user;

[0082] The execution unit 103, the execution module receives the control instruction sent by the monitoring module, processes the deep learning training task according to the control instruction, and returns the processing result to the monitoring module.

[0083] Among them, such as Figure 7 As shown, the binding unit 101 specifically includes:

[0084] The acquisition subunit 1011 acquires the parameter information of the deep learning training task input by the user;

[0085] The generating...

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Abstract

The invention provides a deep learning training task management and control method based on a copy mode. The deep learning training task management and control method comprises the steps that a deep learning training task input by a user is bound with a training task copy; the monitoring module monitors the training task copy and sends a control instruction according to an operation input by a user; and the execution module receives the control instruction sent by the monitoring module, processes the deep learning training task according to the control instruction and returns a processing result to the monitoring module. The invention further provides a deep learning training task management and control device based on the copy mode. The problem that existing deep task training needs to spend a large amount of time and energy is effectively solved, and efficient deep learning task training is effectively improved.

Description

technical field [0001] The present invention relates to the field of deep learning task management, in particular to a copy mode-based deep learning training task management and control method and device. Background technique [0002] Deep learning is to learn the internal laws and representation levels of sample data. The information obtained during the learning process is of great help to the interpretation of data such as text, images and sounds. Its ultimate goal is to enable machines to have the ability to analyze and learn like humans, and to be able to recognize data such as text, images, and sounds. Deep learning has achieved many results in search technology, data mining, machine learning, machine translation, natural language processing, multimedia learning, speech, recommendation and personalization technology, and other related fields. Deep learning enables machines to imitate human activities such as audio-visual and thinking, and solves many complex pattern re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06N3/04
CPCG06N3/08G06N3/045
Inventor 王文潇
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD
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