2021-03-31 · article · Advanced Neural Network Applications · en
highly citedClaims drawn from cited facts, not live model generation.
This paper is a published article centered on advanced neural network applications, covering deep-learning fundamentals, CNN architectures, challenges, and future outlook. Because it is an article rather than a preprint, it has cleared formal peer review and thus merits stronger evidentiary weight.
4 cited facts
This work is the product of a small team of three researchers.
1 cited fact
The work has been cited 7,793 times, which marks it as already an established reference point in its field rather than an early-signal case. It grounds that reception in 362 references.
3 cited facts
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions is an article, focusing on Advanced Neural Network Applications, published in 2021.
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions has 7,793 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for Review of deep learning: concepts, CNN architectures, challenges, applications, future directions and references 362 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
Source facts, citations, and refresh stamp for this record.
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