For what reason Convolution 1x1 is used in deep neural networks?
<p>I'm looking at InceptionV3 (GoogLeNet) architecture and cannot understand why do we need conv1x1 layers?</p>

<p>I know how convolution works, but I see a profit with patch size > 1. </p>