Over the past 18 months or so, a number of new neural network achitectures were proposed specifically for use on mobile and edge devices.
It seems that pretty much everyone has figured out now that large models such as VGG16 or ResNet-50 aren’t a good idea on small devices. 😉
In this blog post we’ll look at a number of these new neural network designs and do some speed measurements to see how fast they are.
First we’ll revisit a few older architectures:
And then we’ll look at the new ones:
TinyYOLO / Darknet
FBNet & ChamNet
It’s possible I missed some architectures. Found an interesting architecture that isn’t covered here? Let me know and I’ll add it to the blog post.