I’m trying to group convoluctions in only one convolution using the associative property from multidimensional discrete convolution (Conv2D in Keras/TensorFlow). This property says that: $$Y=(x \ast \ast h_1) ** h_2=x**(h_1**h_2)$$ where $h_1$ and $h_2$ are the filters. Until now I achieved group two Conv2D in one: firstly convolving $h_1$ ans $h_2$ and later convolving with […]