论文笔记-An Analysis of Deep Neural Network Models for Practical Applications
https://arxiv.org/abs/1605.07678 摘要 本文全面分析了在实际应用中的几项重要指标：准确率、内存占用、参数、操作数量、推理时间、功耗，并得出了以下几项主要研究结论： （1）功耗与batch size和网络架构无关； （2）准确率和推理时间呈双曲线关系； （3）能量限制是最大可达准确率和模式复杂度的上限； （4）操作的数量可以有效的估计推理时间。 准确率： 图1展示了提
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相关文章
- 1. Analysis of Drifting Dynamics with Neural Network Hidden Markov Models
- 2. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
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