Comparison of the efficiency of zero and first order minimization methods in neural networks
To minimize the objective function in neural networks, first-order methods are usually used, which involve the repeated calculation of the gradient. The number of variables in modern neural networks can be many thousands and even millions. Numerous experiments show that the analytical calculation ti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Publishing House of the State University of Management
2022-12-01
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| Series: | Вестник университета |
| Subjects: | |
| Online Access: | https://vestnik.guu.ru/jour/article/view/3952 |