Neural network data compression and related calculation method and device

A neural network and data compression technology, applied in the field of deep learning, can solve problems such as multi-computing and memory resources, and achieve the effects of simple recovery, data replacement and elimination, and improved utilization

Inactive Publication Date: 2019-11-22
XILINX TECH BEIJING LTD
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Problems solved by technology

[0003] Although ANN-based methods have advanced performance, they require more computational and memory resources than traditional methods
Especially with the de

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  • Neural network data compression and related calculation method and device
  • Neural network data compression and related calculation method and device
  • Neural network data compression and related calculation method and device

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[0027] Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0028] Artificial intelligence has developed rapidly in recent years, and has achieved good application results in the fields of image classification, detection, video and voice processing, and still has great development prospects. Neural network is the core of artificial intelligence applications, and deep learning neural network algorithm is one of the most common neural network models. In recent years, the neural network model has shown...

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Abstract

The invention discloses a neural network data compression and related calculation method and device. The data compression method comprises the following steps: acquiring a fixed-point neural network model; and replacing specific numbers continuously appearing in the neural network model calculation with a combination of two or more numbers. Therefore, for the inherent attribute that a large numberof identical numbers continuously appear in quantized neural network calculation, a fixed number combination can be adopted for replacement, so that the effect of highly compressing the data is conveniently and simply realized.

Description

technical field [0001] The invention relates to the field of deep learning, in particular to a neural network data compression method and a related calculation method and device. Background technique [0002] Methods based on artificial neural networks (ANN, Artificial Neural Network), especially convolutional neural networks (CNN, Convolutional Neural Network) have achieved great success in many applications. In the field of computer vision, especially for image classification problems, the introduction of CNN has greatly improved the accuracy of image classification. [0003] Although ANN-based methods have advanced performance, they require more computational and memory resources than traditional methods. Especially with the development of neural networks, large neural networks have more and more layers and data volume, which brings great challenges to the deployment of neural networks. In order to load the high-precision real-time target recognition function realized b...

Claims

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Application Information

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IPC IPC(8): G06N3/063G06N3/04G06N3/08
CPCG06N3/063G06N3/08G06N3/045
Inventor 于谦方绍峡王俊斌隋凌志单羿
Owner XILINX TECH BEIJING LTD
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