NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks

CVPR 2020 Eugene LeeChen-Yi Lee

Deciding the amount of neurons during the design of a deep neural network to maximize performance is not intuitive. In this work, we attempt to search for the neuron (filter) configuration of a fixed network architecture that maximizes accuracy... (read more)

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