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Neural network compression method, device and equipment and computer readable storage medium

A technology of neural network and compression method, which is applied in the field of devices, equipment, computer-readable storage media, and neural network compression method, which can solve the problems of numerous parameters of neural network, and achieve the expansion of application range, reduction of parameters for loading and calculation, and equipment The effect of reduced resource requirements

Pending Publication Date: 2020-11-20
WEBANK (CHINA)
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AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to provide a neural network compression method, device, device, and computer-readable storage medium, aiming to solve the problem that the existing neural network has many parameters, so it is difficult to run the neural network in edge devices with limited computing power

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  • Neural network compression method, device and equipment and computer readable storage medium
  • Neural network compression method, device and equipment and computer readable storage medium
  • Neural network compression method, device and equipment and computer readable storage medium

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Embodiment Construction

[0047] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0048] Such as figure 1 as shown, figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0049] It should be noted that the neural network compression device in the embodiment of the present invention may be a smart phone, a personal computer, a server, etc., and no specific limitation is set here.

[0050] Such as figure 1 As shown, the neural network compression device may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . 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 ...

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Abstract

The invention discloses a neural network compression method, device and equipment and a computer readable storage medium, and the method comprises the steps: carrying out the pooling operation of a convolution kernel in a to-be-compressed neural network, and obtaining a pooling value corresponding to the convolution kernel; performing integer quantization operation on the pooling value to obtain an integer value; and cutting the convolution kernel with the corresponding integer value as the target value in the convolution kernels so as to compress the neural network to be compressed. Accordingto the invention, the burden of the equipment in operating the neural network is reduced, so that the edge equipment with limited computing power can also operate the neural network.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a neural network compression method, device, equipment and computer-readable storage medium. Background technique [0002] With the development of neural network technology, neural networks have been applied in various fields to solve many practical problems that are difficult for modern computers, such as pattern recognition, intelligent robots, automatic control, biology, medicine and economics, etc. The figure of the neural network. An ensuing problem is that with the complexity of the practical problems to be solved, the model structure of the neural network becomes more and more complex. A deep neural network may contain millions or even tens of millions of parameters and tens of thousands of parameters. A network of several layers or even dozens of layers. Due to the large number of neural network parameters, it usually requires a very large calcul...

Claims

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Application Information

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IPC IPC(8): G06N3/08G06N3/04
CPCG06N3/082G06N3/045
Inventor 张天豫范力欣吴锦和
Owner WEBANK (CHINA)
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