Embedded low-power deep learning with TIDL - …
Embedded low-power deep learning with TIDL 2 January 2018 Introduction Computer-vision algorithms used to be quite different from one another. For example, one algorithm would use Hough transforms to detect lines and circles, whereas
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![ABSTRACT arXiv:1409.1556v6 [cs.CV] 10 Apr 2015](/cache/preview/4/e/0/e/4/4/2/c/thumb-4e0e442c20fc4f8e108fa20a1095af07.jpg)
ABSTRACT arXiv:1409.1556v6 [cs.CV] 10 Apr 2015
arxiv.orgPublished as a conference paper at ICLR 2015 Table 1: ConvNet configurations (shown in columns). The depth of the configurations increase s from the left (A) to the right (E), as more layers are added (the added layers are shown in bold).