Implementation of Deep Neural Network on Image Classification
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- Rui Zhong
- The Graduate School of Library, Information and Media Studies, University of Tsukuba
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- Taro Tezuka
- The Graduate School of Library, Information and Media Studies, University of Tsukuba
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Description
In this research we implemented a scalable deep convolutional neural network based on GPU accelerating techniques, optimized the network architecture on GPU architecutre and reduced the training time by organizing device memory to taking advantages of parallel memory access. We adopted back propagation with limited kernel functions to get higher efficiency. Also we experiment on how learning rate parameters effect the deep network. Experiments on all cases of MNIST training and testing takes less than 15 minutes with an acceptable recognition rate.
Journal
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- IPSJ SIG Notes
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IPSJ SIG Notes 2014 (7), 1-7, 2014-06-18
Information Processing Society of Japan (IPSJ)
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Details 詳細情報について
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- CRID
- 1573105977763234944
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- NII Article ID
- 110009795485
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- NII Book ID
- AN10505667
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- ISSN
- 09196072
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- Text Lang
- en
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- Data Source
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- CiNii Articles