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Deep Convolutional Network for Handwritten Chinese Character Recognition

2015-01-01standford.edu 2015Code Available0· sign in to hype

Yuhao Zhang

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Abstract

In this project we explored the performance of deep convolutional neural network on recognizing handwritten Chinese characters. We ran experiments on a 200-class and a 3755-class dataset using convolutional networks with different depth and filter numbers. Experimental results show that deeper network with larger filter numbers give better test accuracy. We also provide a visualization of the learned network on the handwritten Chinese characters.

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