Deep convolutional neural network based on densely connected squeeze-and-excitation blocks
Convolutional neural networks have achieved great successes in many visual tasks, as well as a good performance in various applications. However, research has yet to solve the practical problem of how to improve the recognition rate by increasing the depth of the network. The method proposed in this...
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2019-06-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/1.5100577 |