Comments (1)
Refer to MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications for the explanation of width multipliers. Basically, it scales the number of channels which, in turn, changes the capacity of the model. You can increase it as much as you want but increasing it will make your network slower and bulkier.
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Related Issues (15)
- Pre-trained model HOT 1
- How to continue-train? HOT 1
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- about quantizable_separable_convolution2d
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