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Performance comparison of deep learning frameworks in image classification problems using convolutional and recurrent networks
Research article (2017 IEEE Colombian Conference on Communications and Computing (COLCOM), 2017) · cited 22× · AI/ML
Performance comparison of deep learning frameworks in image classification problems using convolutional and recurrent networks
Summary
Performance comparison of deep learning frameworks in image classification problems using convolutional and recurrent networks is a scholarly article[1].
Key Facts
Performance comparison of deep learning frameworks in image classification problems using convolutional and recurrent networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Performance comparison of deep learning frameworks in image classification problems using convolutional and recurrent networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-comparison-of-deep-learning-frameworks-in-image-classification-problems-using-convolutional-and-recurrent-ne
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BibTeX@misc{4ortxyz_performance-comparison-of-deep-learning-frameworks-in-image-classification-problems-using-convolutional-and-recurrent-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance comparison of deep learning frameworks in image classification problems using convolutional and recurrent networks}}, year = {2026}, url = {https://4ort.xyz/entity/performance-comparison-of-deep-learning-frameworks-in-image-classification-problems-using-convolutional-and-recurrent-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance comparison of deep learning frameworks in image classification problems using convolutional and recurrent networks — https://4ort.xyz/entity/performance-comparison-of-deep-learning-frameworks-in-image-classification-problems-using-convolutional-and-recurrent-ne (retrieved 2026-05-24)