Comments (1)
Hi,
Thanks. The original paper does not mention the dropout rate. But setting dropout rate to 0.5 is indeed my mistake, which makes the training much longer. I'll leave a notice in README.
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Related Issues (20)
- last two layers gone
- how to train the net on my own dataset HOT 1
- Model architecture HOT 1
- input_size seems not used
- depthwise "separable" convolution not implemented correctly? HOT 1
- type error when loading model HOT 2
- will you release width_mult = 0.5 pretrained model?
- The InvertedResidual module. No matter expansion is 1 or 6. There should be a bottle neck. pw+dw+pw(linear) HOT 1
- temporal shift module error HOT 1
- the pretrained model file is broken, could you provide a right ? HOT 1
- Incompatible keys when loading the model HOT 1
- problem about the last version of MobileNetV2 HOT 2
- Training Details HOT 1
- about warmup epochs
- Dataset
- linux extract mobilenet_v2.pth.tar and it is empty? HOT 3
- calculate flops HOT 1
- num of Input channels are more than 3
- # of FLOPs
- Question regarding inverted residual block
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