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Bacanin et al., 2022 - Google Patents

Convolutional neural networks hyperparameters optimization using sine cosine algorithm

Bacanin et al., 2022

Document ID
15394997917841418145
Author
Bacanin N
Zivkovic M
Salb M
Strumberger I
Chhabra A
Publication year
Publication venue
Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021

External Links

Snippet

The most challenging task in the machine learning domain is optimizing the hyperparameters in convolutional neural networks. This task is representative of NP-hard problems, and consequently, it is not possible to solve it by applying standard deterministic …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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