This article reviews effective facial emotion recognition methods using convolutional neural networks and deep learning methodologies. While we cover the ins and outs of building and training a convolutional neural network, we try to provide readers with a thorough understanding of the underlying technologies and their applications in real-time facial emotion recognition. By addressing the problem presented in this paper, we provide insight into how deep learning techniques can be used not only to improve facial recognition systems, but also to significantly contribute to advances in human-computer interaction.
| Mualliflar | Kurbanov, Abduraxmon |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2024-06-14 |
| Jild | 7 |
| Son | 2 |
| Betlar | 68-76 |
| Til | Rus |
| DOI | 10.62132/ijdt.v7i2.183 |
DOI: 10.62132/ijdt.v7i2.183 · Maqolaning asl sahifasi
chuqur o‘rganish, konvolyutsion neyron tarmoqlar, chuqur neyron tarmoqlar, mahalliy ikkilik naqshlar, convolutional neural networks, deep neural networks, Local binary patterns
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