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Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers
Research article (Expert Systems with Applications, 2019) · cited 34× · AI/ML
Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers
Summary
Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers is a scholarly article[1].
Key Facts
Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-of-the-proficiency-of-fully-connected-neural-networks-in-the-process-of-classifying-digital-images-benchmark-of
MLA“Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-of-the-proficiency-of-fully-connected-neural-networks-in-the-process-of-classifying-digital-images-benchmark-of.
BibTeX@misc{4ortxyz_analysis-of-the-proficiency-of-fully-connected-neural-networks-in-the-process-of-classifying-digital-images-benchmark-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-of-the-proficiency-of-fully-connected-neural-networks-in-the-process-of-classifying-digital-images-benchmark-of}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers — https://4ort.xyz/entity/analysis-of-the-proficiency-of-fully-connected-neural-networks-in-the-process-of-classifying-digital-images-benchmark-of (retrieved 2026-05-24)