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Google MobileNet implementation with Keras

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How do I train image classifier with mobilenet?

Depthwise separable convolutions are notoriously hard to implement efficiently. In particular, `SeparableConv2D` in Keras (as well as group convolutions in Keras and PyTorch) leads to almost no speedup on CPU,...

Inspired by #4, added an example of training MobileNet on CIFAR10.

Sorry I am very new to Keras. Can you explain a bit how to use the implementation? e.g. train, do a forward-pass and etc