Implementation of Deep Neural Network on Image Classification
-
- Rui Zhong
- The Graduate School of Library, Information and Media Studies, University of Tsukuba
-
- Taro Tezuka
- The Graduate School of Library, Information and Media Studies, University of Tsukuba
この論文をさがす
説明
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.
収録刊行物
-
- 情報処理学会研究報告. MPS, 数理モデル化と問題解決研究報告
-
情報処理学会研究報告. MPS, 数理モデル化と問題解決研究報告 2014 (7), 1-7, 2014-06-18
一般社団法人情報処理学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1573105977763234944
-
- NII論文ID
- 110009795485
-
- NII書誌ID
- AN10505667
-
- ISSN
- 09196072
-
- 本文言語コード
- en
-
- データソース種別
-
- CiNii Articles