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Binarization device, method and application oriented to binary neural network

A binary neural network and neural network technology, applied in neural learning methods, biological neural network models, neural architectures, etc. flexible effects

Active Publication Date: 2019-02-05
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Problems solved by technology

Because of its compact data size and convenient calculation method, it has become a key research object of scholars as soon as it appeared. However, in the prior art, the special binarization for binary neural network has not been realized on the neural network accelerator. device, which is very unfavorable for the promotion and use of binary neural networks

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  • Binarization device, method and application oriented to binary neural network
  • Binarization device, method and application oriented to binary neural network
  • Binarization device, method and application oriented to binary neural network

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Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the binary neural network-oriented binarization device and method provided in the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0027] Binary neural networks usually have binarized neuron data and / or weight data, but these data still have strong expressive ability even after binarization, not only can express good results in retrieval, but also Compared with non-binary neural networks, mathematical operations are converted into simple bit operations, which saves a lot of computing space and time, and expands the scope of application. Therefore, it is important to design a special binarization device for binary neural networks. meaning.

[0028] Especially in the data processing process of the binary neural network, the binarization process of the data belongs to the high-frequency operation. Ther...

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Abstract

The invention relates to a binarization device oriented to a binary neural network, comprising a data receiving unit for receiving non-binary input data to be binarized and preset binary parameters ofthe neural network, wherein, the non-binary input data are neuron data and / or weight data; A binary calculation unit for performing binary calculation for the input data; A data output unit for outputting a binarization result obtained by the binarization calculation unit.

Description

technical field [0001] The invention relates to the computing field, in particular to a computing device and method for a binary neural network. Background technique [0002] Neural network is one of the perception models with a high level of development in the field of artificial intelligence. Because of its wide application and excellent performance, it has become a research hotspot in academia and industry. The neural network establishes a model structure by simulating the neural connection structure of the human brain, which has brought breakthroughs in large-scale data (such as image, video or audio) processing tasks. The model structure is a network structure composed of a large number of nodes. The operation model constituted, the nodes in it are called neurons, and the connection strength between each two nodes represents the weighted value between the two nodes through the connection signal, which is called weight, which corresponds to the neuron in the human neural...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/04G06N3/082
Inventor 韩银和闵丰许浩博王颖
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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