Reinforcement learning for neural architecture search: A review

Deep neural networks are efficient and flexible models that perform well for a variety of tasks such as image, speech recognition and natural language understanding. In particular, convolutional neural networks (CNN) generate a keen interest among researchers in computer vision and more specifically...

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Veröffentlicht in:	Image and vision computing 2019-09, Vol.89, p.57-66
Hauptverfasser:	Jaafra, Yesmina, Luc Laurent, Jean, Deruyver, Aline, Saber Naceur, Mohamed
Format:	Artikel
Sprache:	eng
Schlagworte:	AutoML Computer Science Convolutional neural networks Neural Architecture Search Reinforcement learning
Online-Zugang:	Volltext
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