BlockQNN: Efficient Block-Wise Neural Network Architecture Generation

Convolutional neural networks have gained a remarkable success in computer vision. However, most popular network architectures are hand-crafted and usually require expertise and elaborate design. In this paper, we provide a block-wise network generation pipeline called BlockQNN which automatically b...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2021-07, Vol.43 (7), p.2314-2328
Hauptverfasser:	Zhong, Zhao, Yang, Zichen, Deng, Boyang, Yan, Junjie, Wu, Wei, Shao, Jing, Liu, Cheng-Lin
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Artificial neural networks AutoML Computer architecture Computer vision Construction Convolutional neural network Graphics processing units Image classification Indexes Machine learning Network architecture neural architecture search Neural networks Q-learning reinforcement learning Strategy Task analysis
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