[1] is a Google-authored demo running Inception-v3[2] (about twice as accurate as VGG) on Android phones.<p>I don&#x27;t know how many parameters Inception v3 has, but I know Google considers it more efficient than VGG (&quot;Although our network is 42 layers deep, our computation cost is only about 2.5 higher than that of GoogLeNet and it is still much more efficient than VGGNet&quot;.)<p>Yes, being able to run big networks is great. But ultimately it&#x27;s what you do with it, and a 3% error rate on ImageNet is a pretty compelling argument that size isn&#x27;t the only factor.<p>[1] <a href="https:&#x2F;&#x2F;github.com&#x2F;tensorflow&#x2F;tensorflow&#x2F;tree&#x2F;master&#x2F;tensorflow&#x2F;examples&#x2F;android" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;tensorflow&#x2F;tensorflow&#x2F;tree&#x2F;master&#x2F;tensorf...</a><p>[2] <a href="http:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1512.00567" rel="nofollow">http:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1512.00567</a>