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Title:
NEURAL NETWORK GENERATION DEVICE, NEURAL NETWORK COMPUTING DEVICE, EDGE DEVICE, NEURAL NETWORK CONTROL METHOD, AND SOFTWARE GENERATION PROGRAM
Document Type and Number:
WIPO Patent Application WO/2022/230906
Kind Code:
A1
Abstract:
This neural network generation device generates a neural network execution model that computes a neural network, the neural network execution model converting input data to first quantized data quantized by a first quantization means and to second quantized data quantized by a second quantization means different from the first quantization means.

Inventors:
TOKUNAGA HIROYUKI (JP)
Application Number:
PCT/JP2022/018952
Publication Date:
November 03, 2022
Filing Date:
April 26, 2022
Export Citation:
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Assignee:
LEAPMIND INC (JP)
International Classes:
G06N3/02
Foreign References:
CN111401518A2020-07-10
Other References:
XIAOFAN LIN, ZHAO CONG, PAN WEI: "Towards Accurate Binary Convolutional Neural Network", 30 November 2017 (2017-11-30), pages 1 - 14, XP055532857, Retrieved from the Internet [retrieved on 20181211]
Attorney, Agent or Firm:
NISHIZAWA Kazuyoshi et al. (JP)
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