TanhExp: A smooth activation function with high convergence speed for lightweight neural networks
Abstract Lightweight or mobile neural networks used for real‐time computer vision tasks contain fewer parameters than normal networks, which lead to a constrained performance. Herein, a novel activation function named as Tanh Exponential Activation Function (TanhExp) is proposed which can improve th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-03-01
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| Series: | IET Computer Vision |
| Online Access: | https://doi.org/10.1049/cvi2.12020 |