An Analysis of Deep Neural Network Models for Practical Applications

@article{Canziani2016AnAO,
  title={An Analysis of Deep Neural Network Models for Practical Applications},
  author={Alfredo Canziani and Adam Paszke and Eugenio Culurciello},
  journal={CoRR},
  year={2016},
  volume={abs/1605.07678}
}
Since the emergence of Deep Neural Networks (DNNs) as a prominent technique in the field of computer vision, the ImageNet classification challenge has played a major role in advancing the state-of-the-art. While accuracy figures have steadily increased, the resource utilisation of winning models has not been properly taken into account. In this work, we present a comprehensive analysis of important metrics in practical applications: accuracy, memory footprint, parameters, operations count… CONTINUE READING
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