[7] Kumar, A., Saurabh Goyal, and M. Varma. (2017). Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things . [8] Zhang, Yund。TinyML:下一轮人工智能革命( 五 )。" />

TinyML:下一轮人工智能革命( 五 )


[6] Gruenstein, Alexander--tt-darkmode-color: #9B9B9B;">[7] Kumar, A., Saurabh Goyal, and M. Varma. (2017). Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things .
[8] Zhang, Yundong--tt-darkmode-color: #9B9B9B;">[9] Fedorov, Igor--tt-darkmode-color: #9B9B9B;">[10] Lin, Ji--tt-darkmode-color: #9B9B9B;">[11] Chen, Tianqi--tt-darkmode-color: #9B9B9B;">[12] Weber, Logan, and Reusch, Andrew (2020). TinyML — How TVM is Taming Tiny .
[13] Krishnamoorthi, Raghuraman. (2018). Quantizing deep convolutional networks for efficient inference: A whitepaper .
[14] Yosinski, Jason--tt-darkmode-color: #9B9B9B;">[15] Lai, Liangzhen--tt-darkmode-color: #9B9B9B;">[16] Chowdhery, Aakanksha--tt-darkmode-color: #9B9B9B;">[17] Warden, Pete. (2018). Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition .
[18] Zemlyanikin, Maxim--tt-darkmode-color: #9B9B9B;">原文链接:
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