This paper presents a study of designing compact classifiers using deep neural networks for recognition of online handwritten Chinese characters.
This paper presents a study of designing compact classifiers using deep neural networks for recogni- tion of online handwritten Chinese characters. Two.
This paper presents a study of designing compact classifiers using deep neural networks for recognition of online handwritten Chinese characters.
This work extensively explore the performance of those networks for handwritten Chinese characters recognition (HCCR) based on popular convolutional neural ...
Missing: Compact Classifiers
May 15, 2017 · Title:Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition Using DropWeight and Global Pooling.
Missing: Study | Show results with:Study
Abstract. This paper presents a study of designing compact classifiers using deep neural networks for recognition of online handwritten Chinese characters.
Improved deep convolutional neural network for online handwritten Chinese character recognition using domain-specific knowledge · Weixin YangLianwen Jin ...
People also ask
What is neural network architecture for handwritten recognition?
What neural network is used for alphabet recognition?
May 15, 2017 · Feng, “Improved deep convolutional neu- ral network for online handwritten chinese character recognition using domain-specific knowledge ...
Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition ... using neural network language models and convolutional ...
We propose a new method for building fast and compact CNN model for large scale handwritten Chinese character recognition (HCCR).