A State-of-the-Art Survey on Deep Learning Theory and Architectures

In recent years, deep learning has garnered tremendous success in a variety of application domains. This new field of machine learning has been growing rapidly and has been applied to most traditional application domains, as well as some new areas that present more opportunities. Different methods h...

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Veröffentlicht in:	Electronics (Basel) 2019-03, Vol.8 (3), p.292
Hauptverfasser:	Alom, Md Zahangir, Taha, Tarek M., Yakopcic, Chris, Westberg, Stefan, Sidike, Paheding, Nasrin, Mst Shamima, Hasan, Mahmudul, Van Essen, Brian C., Awwal, Abdul A. S., Asari, Vijayan K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Artificial neural networks Belief networks Bioinformatics Coders Computer vision Cybersecurity Data processing Datasets Deep learning Domains Generative adversarial networks Image processing Learning theory Machine learning Machine translation Medical imaging Natural language processing Neural networks Object recognition Recurrent neural networks Robotics Speech recognition Success Voice recognition
Online-Zugang:	Volltext
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