Neural network model training method and device
A neural network model and training method technology, applied in biological neural network models, neural learning methods, neural architectures, etc., can solve problems such as sample data quality and validity evaluation, training neural network model accuracy needs to be improved, etc. performance effect
Active Publication Date: 2020-08-25
BEIJING BAIDU NETCOM SCI & TECH CO LTD
View PDF7 Cites 4 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
The sample data is mainly set manually, and the quality and effectiveness of the sample data have not been evaluated. Based on this, the efficiency of training the neural network model and the accuracy of the model need to be improved
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0016] The present disclosure will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.
[0017] It should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.
[0018] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary on...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to the field of artificial intelligence, and discloses a neural network model training method and device. The method comprises the following steps: constructing a training data set based on a first sample data set, and training a target neural network model by using the training data set to obtain an initial current reference model; obtaining a second sample data set, and executing multiple migration training operations; wherein the migration training operation comprises the following steps: sampling a second sample data set from a second sample data set; predicting the performance increment of the current reference model corresponding to the combination of the second sample data to the training data set of the target neural network model; selecting a second sample data set with the maximum corresponding performance increment and adding the second sample data set into the training data set to obtain an updated training data set; and updating the trained referencemodel obtained by training based on the updated training data set into a new current reference model, and deleting the sample data added into the training data set in the second sample data set. The method improves the performance of the target neural network model.
Description
technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, specifically to the field of artificial intelligence technology, and in particular to a training method and device for a neural network model. Background technique [0002] With the development of artificial intelligence technology and data storage technology, deep neural networks have achieved important results in tasks in many fields. The performance of the neural network model depends on a large number of sample data. The quality and quantity of sample data directly affect the efficiency of training and the accuracy of the model. [0003] The current sample data set construction method mainly generates sample data for training by collecting a large amount of raw data, preprocessing and labeling the raw data. The sample data is mainly set manually, and the quality and effectiveness of the sample data have not been evaluated. The efficiency of training the neural n...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06N3/04
CPCG06N3/08G06N3/045
Inventor 希滕张刚温圣召
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD