
A convolutional neural network (CNN) is a deep, feed-forward artificial neural network in which the neural network preserves the hierarchical structure by learning internal feature representations and generalizing the features in the common image problems such as object recognition and other computer vision problems. It is not restricted to images; it also receives state-of-the-art results in natural language processing problems and speech recognition.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
