MixConv: Mixed Depthwise Convolutional Kernels

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Benchmark Model Rank Results
image-classification-on-imagenetMixNet-L#756Top 1 Accuracy: 78.9%Number of params: 7.3MGFLOPs: 0.565
image-classification-on-imagenetMixNet-M#834Top 1 Accuracy: 77%Number of params: 5.0MGFLOPs: 0.360
image-classification-on-imagenetMixNet-S#874Top 1 Accuracy: 75.8%Number of params: 4.1MGFLOPs: 0.256

Rank counts only results with a code link.