Mobilenet vs resnet

[Alireza_Saei]

Hi @tarunsaxena1000

@tarunsaxena1000

Why dont we remove relu after addition of skip connection in resnet50 like we do in mobile-net v2 for better performance?

In ResNet50, relu is used for introducing non-linearity. However, in MobileNetV2 the aim is to preserve information and avoid losing important features.

@tarunsaxena1000

And why dont we have Convolution layer in skip connection for dimention matching of mobile-net v2 when the layer dimensions changes, like we do in resnet for matching the output channels when the layer dimensions changes?

MobileNetV2 tries to keep efficiency and reduce computational complexity, relying on other layers. ResNet uses convolutions in skip connections due to its emphasis on deeper and wider residual learning.

Hope this helps!