Enhancing the accuracies by performing pooling decisions adjacent to the output layer
Abstract Learning classification tasks of $$({2}^{n}\times {2}^{n})$$ ( 2 n × 2 n ) inputs typically consist of $$\le n(2\times 2$$ ≤ n ( 2 × 2 ) max-pooling (MP) operators along the entire feedforward deep architecture. Here we show, using the CIFAR-10 database, that pooling decisions adjacent to t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-40566-y |