Meet MixNet: Google Brain’s new State of the Art Mobile AI architecture.

Summary: By replacing single convolutional kernels with a mixed grouping of 3x3–9x9 kernels, and a neural search ‘MixNet’ architecture, a new state of the art 78.9% accuracy on ImageNet top 1% is achieved under standard mobile metrics. MixNet-L outperforms ResNet-153 with 8x fewer params, and MixNet-M matches it exactly but with 12x fewer params and 31x fewer FLOPS.

Tan and Le of Google Brain recently show-cased a new depthwise convolutional kernel arrangement (MixConv) and a new NN architecture optimized…