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EFFECTIVE METHODS OF TEACHING FUTURE COMPUTER SCIENCE TEACHERS TO CALCULATE NEURAL NODES
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| dc.contributor.author | Кеrimberdina, А. | |
| dc.contributor.author | Sadvakassova, А. | |
| dc.contributor.author | Abdulgalimov, G. | |
| dc.date.accessioned | 2023-06-08T11:36:45Z | |
| dc.date.available | 2023-06-08T11:36:45Z | |
| dc.date.issued | 2023-03-15 | |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/6812 | |
| dc.description.abstract | In this article, we'll look at the mathematical basics of how neural nodes work and share some tips on how to teach future computer science teachers how to calculate nodes. Understanding how neural networks work is an important skill in today's information environment. For this, there are different approaches to teaching that help students and undergraduates acquire theoretical knowledge and practical skills.Learning to reproduce the results of artificial neural networks using simple calculations will have a positive impact on understanding how complex calculations are going through a computer in the future. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Publisher of Kostanay Regional University named after Akhmet Baitursynov | en_US |
| dc.subject | future teachers of computer science | en_US |
| dc.subject | artificial neural networks | en_US |
| dc.subject | neural nodes | en_US |
| dc.title | EFFECTIVE METHODS OF TEACHING FUTURE COMPUTER SCIENCE TEACHERS TO CALCULATE NEURAL NODES | en_US |
| dc.type | Article | en_US |
