Enhancing Creativity in Deep Learning Models with SAVE-Inspired Activation Functions
- DOI
- 10.1007/978-3-031-42532-5_12
- Published
- 2023
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-42532-5_12,
title = {Enhancing Creativity in Deep Learning Models with SAVE-Inspired Activation Functions},
author = {Stelian Brad},
year = {2023},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-42532-5_12},
url = {https://doi.org/10.1007/978-3-031-42532-5_12}
}RIS
TY - JOUR TI - Enhancing Creativity in Deep Learning Models with SAVE-Inspired Activation Functions AU - Stelian Brad PY - 2023 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-42532-5_12 UR - https://doi.org/10.1007/978-3-031-42532-5_12 ER -
APA
Brad, S. (2023). Enhancing Creativity in Deep Learning Models with SAVE-Inspired Activation Functions. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-42532-5_12
Source records
- crossref · retrieved 2026-09-25T07:46:38.507Z