Hypergeometric Functions as Activation Functions: The Particular Case of Bessel-Type Functions
The choice of the activation functions in neural networks (NN) are of paramount importance in the training process and the performance of NNs. Therefore, the machine learning community has directed its attention to the development of computationally efficient activation functions. In this paper we i...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/14/2232 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|