Login| Sign Up| Help| Contact|

Patent Searching and Data


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)
Application Number:
PCT/CN2015/090430
Publication Date:
March 30, 2017
Filing Date:
September 23, 2015
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
INTEL CORP (US)
YANG YI (CN)
FENG CHEN (CN)
YAN DAI (CN)
CHEN XIAOMING (CN)
International Classes:
G06V10/28
Domestic Patent References:
WO1999051999A11999-10-14
WO1995015530A11995-06-08
Foreign References:
US6144767A2000-11-07
CN104077233A2014-10-01
CN104915322A2015-09-16
CN104408435A2015-03-11
Attorney, Agent or Firm:
CHINA PATENT AGENT (H.K.) LTD. (CN)
Download PDF: