Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Neural network architecture search method, device, equipment and storage medium

A neural network and search method technology, applied in the field of neural network architecture search methods, equipment and storage media, and devices, can solve problems such as model structure leakage

Active Publication Date: 2022-03-01
PENG CHENG LAB
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a neural network architecture search method, device, equipment and storage medium, aiming to solve the technical problem of model structure leakage caused by architecture search

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Neural network architecture search method, device, equipment and storage medium
  • Neural network architecture search method, device, equipment and storage medium
  • Neural network architecture search method, device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0050] refer to figure 1 , figure 1 It is a schematic structural diagram of the neural network architecture search device for the hardware operating environment involved in the solution of the embodiment of the present invention.

[0051] Such as figure 1As shown, the neural network architecture search device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless inte...

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

No PUM Login to View More

Abstract

The invention relates to the technical field of neural networks, and discloses a neural network architecture search method, device, equipment and storage medium. Including: defining the neural network architecture search space; generating candidate model architectures based on the search network; sharing the data sets and candidate model architectures secretly to the computing server, so that the computing server can perform privacy-preserving neural network training and feedback training accuracy; update predictions based on training accuracy Network and search network, continue to search for candidate model architectures according to the updated search network until the model error of the prediction network reaches the threshold; perform accuracy prediction on the final candidate model architecture based on the updated prediction network, and perform candidate architecture evaluation on the final candidate model architecture . The data owner initiates the model architecture search task, uses the secret sharing method to send the data set, and outsources computing tasks such as model training to the computing server, which ensures the privacy of the model and solves the problem of model structure leakage caused by the architecture search.

Description

technical field [0001] The present invention relates to the technical field of neural networks, in particular to a neural network architecture search method, device, equipment and storage medium. Background technique [0002] In the existing technology, in order to realize adaptive adaptation of dense-state models, each candidate model is usually trained, and the candidate model score is determined according to its performance. However, the training of dense-state data models is very time-consuming, making model adaptive adaptation difficult for practical application. . And in the actual process, the model structure and parameters are the digital assets of the data owner. Direct model architecture search will use the plaintext structure of the model, resulting in the leakage of the model structure and affecting the reasonable use of dense model adaptation. [0003] The above content is only used to assist in understanding the technical solution of the present invention, and...

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
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/08G06N3/04G06F21/62
CPCG06N3/08G06F21/6245G06N3/044G06N3/045
Inventor 束建钢张伟哲周颖杨帆
Owner PENG CHENG LAB
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products