Reading an article about 1x1 convolution, I found this:
It should be noted that a two step convolution operation can always be combined into one, but in this case [GoogLeNet] and in most other deep learning networks, convolutions are followed by non-linear activation and hence convolutions are no longer linear operators and cannot be combined.
What do they mean saying "two step convolution operation can always be combined into one"?