A review on deep convolutional neural networks

By Neena Aloysius, M. Geetha. International Conference on Cryptography, Security and Privacy, 2017

543 citations recorded by the source corpus.

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Recent advances in deep learning based dialogue systems: a systematic survey (2021, background): “For more detailed mechanism illustrations and other variants of CNNs, readers can refer to these representative algorithm papers or surveys: (Krizhevsky et al., 2012; Zeiler and Fergus, 2014; Simonyan and Zisserman, 2014; Szegedy et al., 2015; He et al., 2016; Aloysius and Geetha, 2017; Rawat and Wa”
A Review of Deep Learning Methods for Antibodies (2020, background): “In recent years, solutions to computer vision problems have seen significant increases in success due to geometric deep learning and convolutional neural networks [22,23].”
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects (2020, background): “Before our work, there exist several researchers who have reviewed CNN. Aloysius and Geetha [12] paid attention to frameworks of deep learning chronologically.”
Recent Advances in Convolutional Neural Network Acceleration (2018, unknown): “most important parts in each model [29, 30, 31].”