A 218 GOPS neural network accelerator based on a novel cost-efficient surrogate gradient scheme for pattern classification.
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| Title: | A 218 GOPS neural network accelerator based on a novel cost-efficient surrogate gradient scheme for pattern classification. |
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| Authors: | Siddique, Ali1,2, Iqbal, Muhammad Azhar1,3, azhar.iqbal@lancaster.ac.uk, Aleem, Muhammad4, Islam, Muhammad Arshad4 |
| Source: | Microprocessors & Microsystems; Jun2023, Vol. 99, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 01419331 |
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| DOI: | 10.1016/j.micpro.2023.104831 |