I can understand when when the w and r is demical ,the network channel and resolution will multiple by w and r respectively .But I am a little confused, when d is demical , what does it mean.

(after reading the paper “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”, I still can not understand)

Thanks

Hi xiaobaihe,

Thanks for your question. I am not sure if I understand what you mean with the word ‘demical’. Could you maybe rephrase your question?

Hi reinoudbosch,

what I mean is that :

if the d(Scaling Dimensions Depth) is integer，for example d = 2，then it will scale network by double all the Operator Fi in stage i .But when d=1.2， how to scale the each stage of network.

Hi xiaobaihe,

That is a great question. As it is hard to find any discussion concerning this point, my interpretation is that the base model allows for a multiplication by 1.2 to still arrive at a depth that can be expressed as an integer (but not times the base model). E.g. the base model consists of 5 units of components sequentially. This can then be adjusted to 6 units of components sequentially (which is 1.2 times the base model).

Does this make sense to you?

this makes sense. thanks.

And it seems that the one unit which is added , could be the first units of original components sequentially