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Neural network construction method and device

A neural network and construction method technology, applied in the field of neural network construction methods and equipment, can solve the problems of insufficient pertinence of the data to be identified and the inability to effectively improve the performance of the model, and achieve the effect of improving performance

Inactive Publication Date: 2019-03-01
SHANGHAI EAGLEVISION MEDICAL TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although training the selected model through a large amount of training data can make it have certain performance, the conventional training will not change the structure of the model itself, so the performance of the model cannot be achieved due to the lack of pertinence of the network structure for the recognition data. be effectively promoted

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  • Neural network construction method and device
  • Neural network construction method and device

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Embodiment Construction

[0038] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as there is no conflict with each other.

[0040] An embodiment of the present invention provides a method for constructing a neural network (or called a deep learning model). In this solution, an initial neural network needs to be selected, and certain training can be performed on it in advance. The initial neural network includes an input layer, a h...

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Abstract

The invention provides a neural network construction method and device. The neural network construction method comprises the following steps that a neural network is utilized to output a classification result of input data and adjustment data used for adjusting a neural network structure according to the input data; judging whether the structure of the neural network needs to be updated or not according to the classification result; and when the structure of the neural network needs to be updated, updating the structure of the neural network according to the adjustment data.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a neural network construction method and equipment. Background technique [0002] Machine Learning (ML) technology represented by deep learning has made breakthroughs in many fields in recent years, and more and more industries use deep learning to develop new technologies. Building a machine learning model usually includes the following processes: preprocessing data, selecting or designing an appropriate model series, optimizing model hyperparameters, post-processing the machine learning model, and rigorously analyzing the obtained results. [0003] The current machine learning application still has a certain threshold, and it is difficult for non-machine learning experts to handle the above complicated processes. With the rapid growth of deep learning applications, there is a need to automate the application of deep learning methods. The automated deep learning method c...

Claims

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Application Information

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IPC IPC(8): G06N3/04
CPCG06N3/045
Inventor 马永培李舒磊熊健皓赵昕张大磊
Owner SHANGHAI EAGLEVISION MEDICAL TECH CO LTD