An Empirical Evaluation of Enhanced Performance Softmax Function in Deep Learning
This article present a highly efficient and performance-enhanced Softmax Function (SF) designed for a deep neural network accelerator. The SF is an essential component of deep learning models, primarily used in the classification layer, and also in hidden layers of advanced neural networks like Tran...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10093848/ |