An efficient and effective convolutional neural network for visual pattern recognition
Convolutional neural networks (CNNs) are a variant of deep neural networks (DNNs) optimized for visual pattern recognition, which are typically trained using first order learning algorithms, particularly stochastic gradient descent (SGD). Training deeper CNNs (deep learning) using large data sets (b...
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| 格式: | Thesis |
| 语言: | English |
| 出版: |
2016
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| 主题: | |
| 在线阅读: | http://eprints.utm.my/id/eprint/60714/1/LiewShanSungPFKE2016.pdf |
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