A method and system for fast training depth learning model

A deep learning and model technology, applied in the field of artificial intelligence, can solve problems such as time-consuming, and achieve the effects of improving production efficiency, reducing total cost, and strong practicability

Inactive Publication Date: 2019-03-15
SHENZHEN COMTOP INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows companies or organizations to speed up their decision-making processes without requiring them to manually evaluate and optimize neural networks used during training. It uses these trained network components together to predict new applications that may be relevant only within certain limits set by factors like budget size. By doing this, it makes more efficient decisions while reducing costs compared to traditional methods such as trial/error techniques.

Problems solved by technology

The problem addressed in this patented method for developing an artificial intelligence system involves collectively working with multiple models that are trained on different images or videos taken from various sources such as cameras or sensors over several hours.

Method used

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  • A method and system for fast training depth learning model
  • A method and system for fast training depth learning model
  • A method and system for fast training depth learning model

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Embodiment Construction

[0024] The technical problem to be solved by the present invention is: the training process of the existing deep learning model takes a long time. The technical idea proposed by the present invention for this technical problem is: omit the algorithm evaluation and optimization process, directly adopt the deep learning model, and use the training data related to the specific application to train the deep learning model, so as to obtain the deep learning model related to the specific application. Learn the model parameters; then combine the deep learning model parameters and the deep learning model to generate a specific application prediction model to complete the training.

[0025] In order to make the technical purpose, technical solution and technical effect of the present invention clearer, so that those skilled in the art can understand and implement the present invention, the present invention will be further described in detail below in conjunction with the accompanying draw

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Abstract

Method and system for fast training depth learning model; The method for quickly training the depth learning model comprises the following steps: step S1, preparing the depth learning model and training data related to a specific application; 2, train that depth learning model by use the training data so as to obtain the parameters of the depth learning model relate to the specific application; 3,combine that parameters of the depth learn model and the depth learning model to generate a specific application prediction model. The method and the system of the rapid training depth learning modelof the invention are ingenious in design and strong in practicability.

Description

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Claims

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Application Information

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Owner SHENZHEN COMTOP INFORMATION TECH
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