Implementation of Training Convolutional Neural Networks
June 03, 2015 Β· Declared Dead Β· π arXiv.org
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Authors
Tianyi Liu, Shuangsang Fang, Yuehui Zhao, Peng Wang, Jun Zhang
arXiv ID
1506.01195
Category
cs.CV: Computer Vision
Cross-listed
cs.LG,
cs.NE
Citations
134
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Deep learning refers to the shining branch of machine learning that is based on learning levels of representations. Convolutional Neural Networks (CNN) is one kind of deep neural network. It can study concurrently. In this article, we gave a detailed analysis of the process of CNN algorithm both the forward process and back propagation. Then we applied the particular convolutional neural network to implement the typical face recognition problem by java. Then, a parallel strategy was proposed in section4. In addition, by measuring the actual time of forward and backward computing, we analysed the maximal speed up and parallel efficiency theoretically.
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