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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.04141 |
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| _version_ | 1866909451047403520 |
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| author | Pes, Lorenzo Chehreghan, Maryam Dehbashizadeh Luiken, Rick Stuijk, Sander Stabile, Ripalta Corradi, Federico |
| author_facet | Pes, Lorenzo Chehreghan, Maryam Dehbashizadeh Luiken, Rick Stuijk, Sander Stabile, Ripalta Corradi, Federico |
| contents | This work evaluates a forward-only learning algorithm on the MNIST dataset with hardware-in-the-loop training of a 4f optical correlator, achieving 87.6% accuracy with O(n2) complexity, compared to backpropagation, which achieves 88.8% accuracy with O(n2 log n) complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_04141 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Pes, Lorenzo Chehreghan, Maryam Dehbashizadeh Luiken, Rick Stuijk, Sander Stabile, Ripalta Corradi, Federico Neural and Evolutionary Computing This work evaluates a forward-only learning algorithm on the MNIST dataset with hardware-in-the-loop training of a 4f optical correlator, achieving 87.6% accuracy with O(n2) complexity, compared to backpropagation, which achieves 88.8% accuracy with O(n2 log n) complexity. |
| title | Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs |
| topic | Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2501.04141 |