ShuffleNet vs. MobileNet [12] on ImageNet Classification • ResNet. We adopt the ”bottleneck” design in our ex- the increase of accuracy. Since the efficient design of Shuf- periment, which has been demonstrated more efficient fleNet, we can use more channels for a given computation in [9] .. "/>

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You can use classify to classify new images using the MobileNet-v2 model. Follow the steps of Classify Image Using GoogLeNet and replace GoogLeNet with MobileNet-v2 ..

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