Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy
Summary
Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy is a scholarly article[1].
Key Facts
Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-cnn-for-facial-expression-recognition-a-study-of-the-effects-of-kernel-size-and-number-of-filters-on-accuracy
MLA“Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-cnn-for-facial-expression-recognition-a-study-of-the-effects-of-kernel-size-and-number-of-filters-on-accuracy.
BibTeX@misc{4ortxyz_using-cnn-for-facial-expression-recognition-a-study-of-the-effects-of-kernel-size-and-number-of-filters-on-accuracy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/using-cnn-for-facial-expression-recognition-a-study-of-the-effects-of-kernel-size-and-number-of-filters-on-accuracy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy — https://4ort.xyz/entity/using-cnn-for-facial-expression-recognition-a-study-of-the-effects-of-kernel-size-and-number-of-filters-on-accuracy (retrieved 2026-05-24)
