Open joaopauloschuler opened 3 years ago
Just curious. Is the kEffNet building block capable of adding a 1D signal or is the convolution always 2D?
Good question. This building block is described in these 2 papers:
If your input has the 1x1xC shape (C is the number of channels), you can use this building block replacing dense layers.
Add kEffNet 1.0 building block described on the paper "Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet".