Title:
APPARATUS AND METHOD FOR LOCAL QUANTIZATION FOR CONVOLUTIONAL NEURAL NETWORKS (CNNS)
Document Type and Number:
WIPO Patent Application WO/2017/049496
Kind Code:
A1
Abstract:
An apparatus and method for local quantization for convolutional neural networks. For example, one embodiment of an apparatus comprises : a convolutional neural network module comprising a neuron network structure to perform pattern recognition within an input image using a set of input image values; and a quantization module to quantize input image values to reduce processing requirements within one or more stages of the neuron network structure; the quantization module to perform quantization of each of a plurality of patches of the input image using a first quantization policy to generate a first matrix of quantized input data and to perform quantization of each of a plurality of kernel data using a second quantization policy to generate a second matrix of quantized kernel data.
Inventors:
YANG YI (CN)
FENG CHEN (CN)
YAN DAI (CN)
CHEN XIAOMING (CN)
FENG CHEN (CN)
YAN DAI (CN)
CHEN XIAOMING (CN)
Application Number:
PCT/CN2015/090430
Publication Date:
March 30, 2017
Filing Date:
September 23, 2015
Export Citation:
Assignee:
INTEL CORP (US)
YANG YI (CN)
FENG CHEN (CN)
YAN DAI (CN)
CHEN XIAOMING (CN)
YANG YI (CN)
FENG CHEN (CN)
YAN DAI (CN)
CHEN XIAOMING (CN)
International Classes:
G06V10/28
Domestic Patent References:
WO1999051999A1 | 1999-10-14 | |||
WO1995015530A1 | 1995-06-08 |
Foreign References:
US6144767A | 2000-11-07 | |||
CN104077233A | 2014-10-01 | |||
CN104915322A | 2015-09-16 | |||
CN104408435A | 2015-03-11 |
Attorney, Agent or Firm:
CHINA PATENT AGENT (H.K.) LTD. (CN)
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