Implementation of Deep Neural Network on Image Classification

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概要

• 論文の詳細を見る

• 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.

• 2014-06-18

著者

• 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

関連論文

• Implementation of Deep Neural Network on Image Classification
• Implementation of Deep Neural Network on Image Classification

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