A convolutional neural network used for recognizing handwritten numbers.
A training data set of 28x28-pixel handwritten numbers for recognition.
 There is data that the total power used for multipliers and adders for 32-bit integer data is about 3.2 pico joules (pJ), while that used for 32-bit floating-point data is about 4.6 pJ
M. Horowitz, "1.1 Computing's energy problem (and what we can do about it)," 2014 IEEE International Solid-State Circuits Conference Digest of Technical Papers (ISSCC), San Francisco, CA, 2014, pp. 10-14.
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Date: 24 April, 2017
City: Kawasaki, Japan
Company: Fujitsu Laboratories Ltd.
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