The Inception module (or block of layers) aims to cover a large area but also keep a fine resolution in order to see the important local information in images as well. In addition to creating deeper networks, the inception block introduces the idea of parallel convolutions. What we meant by this is that in-parallel convolutions of different sizes are performed on the output of the previous layer.
A naive view of the inception layer can be seen here:
Basically, the idea of the inception block is to use all available kernel sizes and operations to cover the most information possible and let the backpropagation decide what to ...
